"edsebk_subject:unclass/Computational complexity" - Search

nexusstc/Computational Methods with MATLAB/8daef8c316f1f95590fbaea7b02f0a3d.pdf

Computational Methods with MATLAB® Erik Cuevas, Alberto Luque, Héctor Escobar Springer International Publishing, Synthesis Lectures on Engineering, Science, and Technology, 2024

This textbook provides readers a comprehensive introduction to numerical methods, using MATLAB®. The authors discuss the theory and application of the most often used numerical methods, using MATLAB as a computational tool. The book is designed to be accessible to readers of varying backgrounds, so the presentation focuses more on the description, implementation, and application of the methods and less on the mathematical details. This book not only covers the most important methods and techniques of scientific computation, but also contains a great amount of code and implementations, facilitating the process of learning and application.

English [en] · PDF · 5.2MB · 2024 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc · Save

lgli/2023 - Jukna - Tropical circuit complexity.pdf

Tropical Circuit Complexity : Limits of Pure Dynamic Programming Jukna, Stasys Springer International Publishing AG, Springer Nature, Cham, 2023

This book presents an enticing introduction to tropical circuits and their use as a rigorous mathematical model for dynamic programming (DP), which is one of the most fundamental algorithmic paradigms for solving combinatorial, discrete optimization problems. In DP, an optimization problem is broken up into smaller subproblems that are solved recursively. Many classical DP algorithms are pure in that they only use the basic (min,+) or (max,+) operations in their recursion equations. In tropical circuits, these operations are used as gates. Thanks to the rigorous combinatorial nature of tropical circuits, elements from the Boolean and arithmetic circuit complexity can be used to obtain lower bounds for tropical circuits, which play a crucial role in understanding the limitations and capabilities of these computational models. This book aims to offer a toolbox for proving lower bounds on the size of tropical circuits.In this work, the reader will find lower-bound ideas and methods that have emerged in the last few years, with detailed proofs. Largely self-contained, this book is meant to be approachable by graduate students in mathematics and computer science with a special interest in circuit complexity.

English [en] · PDF · 6.3MB · 2023 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/zlib · Save

lgli/981999411X.pdf

Genetic and Evolutionary Computing : Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume II), October 6-8, 2023, Kaohsiung, Taiwan Jeng-Shyang Pan (editor), Zhigeng Pan (editor), Pei Hu (editor), Jerry Chun-Wei Lin (editor) Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd, Lecture Notes in Electrical Engineering; 1114, 2024

This second volume of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6-8, 2023 in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may know the up-to-date techniques of the mentioned topics, including technologies for next-generation network environments, recent progress in computational electromagnetic dynamics, future cyber security, privacy and forensics for advanced systems, data mining techniques and its applications, optimization models in deep learning and machine learning. It will help readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs.

English [en] · PDF · 49.2MB · 2024 · 📘 Book (non-fiction) · 🚀/lgli/lgrs · Save

lgli/Pavlovic D. Programs as diagrams.. from categorical computability to computable categories (Springer, 2023)(ISBN 9783031348266)(O)(261s)_CsNp_.pdf

Programs as Diagrams: From Categorical Computability to Computable Categories (Theory and Applications of Computability) Dusko Pavlovic Springer International Publishing, 1st ed. 2024, 1st ed. 2023, PS, 2023

It is not always clear what computer programs mean in the various languages in which they can be written, yet a picture can be worth 1000 words, a diagram 1000 instructions. In this unique textbook/reference, programs are drawn as string diagrams in the language of categories, which display a universal syntax of mathematics (Computer scientists use them to analyze the program semantics; programmers to display the syntax of computations). Here, the string-diagrammatic depictions of computations are construed as programs in a single-instruction programming language. Such programs as diagrams show how functions are packed in boxes and tied by strings. Readers familiar with categories will learn about the foundations of computability; readers familiar with computability gain access to category theory. Additionally, readers familiar with both are offered many opportunities to improve the approach. Topics and features: Delivers a ‘crash'diagram-based course in theory of computationUses single-instruction diagrammatic programming languageOffers a practical introduction into categories and string diagrams as computational toolsReveals how computability is programmability, rather than an ‘ether'permeating computers Provides a categorical model of intensional computation is unique up to isomorphismServes as a stepping stone into research of computable categories In addition to its early chapters introducing computability for beginners, this flexible textbook/resource also contains both middle chapters that expand for suitability to a graduate course as well as final chapters opening up new research. Dusko Pavlovic is a professor at the Department of Information and Computer Sciences at the University of Hawaii at Manoa, and by courtesy at the Department of Mathematics and the College of Engineering. He completed this book as an Excellence Professor at Radboud University in Nijmegen, The Netherlands.

English [en] · PDF · 5.4MB · 2023 · 📘 Book (non-fiction) · 🚀/lgli/lgrs · Save

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upload/newsarch_ebooks/2023/09/16/extracted__3031404777.zip/978-3-031-40478-8.epub

Computational Methods with MATLAB® Erik Cuevas; Alberto Luque; Héctor Escobar Springer Nature Switzerland AG, Synthesis Lectures on Engineering, Science, and Technology, 2023

The objective of this book is to present a comprehensive and consistent overview of numerical methods for undergraduate students and professionals in the engineering field. The book can also serve as a reference for engineering professionals who have the need to use MATLAB in their applications. This is because many of the MATLAB codes, presented after introducing the basic ideas of each algorithm, can be easily modified to solve similar problems even by those who do not know what goes on inside MATLAB routines and the algorithms they use. This book can be successfully used by two types of readers. The first type are those readers who require a detailed explanation of each algorithm and its potential. These readers are interested in knowing each method in such a way that they can modify the structure and make adaptations to solve their problems. The second are those readers who want to use numerical methods generically as subroutines. Just as most users of a household appliance need only know how to operate it to perform a task, these users need only know how to formulate their problems that they want to solve using MATLAB and how to use the corresponding routines to solve them. It is important to clarify that detailed knowledge of the numerical method is useful for finding a solution to a particular engineering problem. However, it is only implied that one-time users of any numerical method can use this book, as well as readers who want to understand the underlying principle/equations of each algorithm. This book focuses primarily on helping readers understand the fundamental mathematical concepts of numerical methods and practice problem-solving skills using MATLAB. The methodology of the book is to first teach basic concepts so that readers can correctly formulate problems mathematically, skipping some tedious and unnecessary checks. Then, readers can directly implement the codes in MATLAB to solve practical problems. All algorithms presented in this book are followed by a MATLAB code example so that students can easily modify the code to solve their own problems. This methodology is grounded in the belief that the majority of students and professionals, especially those with backgrounds outside of mathematics, recognize the paramount significance of effectively employing numerical tools to address their pertinent challenges. This practical application holds greater importance than considering only extensive demonstrations and proofs. The book uses much more code than formal mathematics. This is because we are convinced that even readers with an excellent mathematical background have trouble understanding an approach until they see the algorithm implemented in code. This fact is because the implemented code removes all ambiguities.

English [en] · EPUB · 32.8MB · 2023 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

Spin Glass Theory Far Beyond Replica Shb: Spin Glass Theory and Far Beyond - Replica Symmetry Breaking after 40 Years Enzo Marinari, Patrick Charbonneau, Marc Mézard World Scientific Publishing Company, World Scientific Publishing Company, London, 2023

About sixty years ago, the anomalous magnetic response of certain magnetic alloys drew the attention of theoretical physicists. It soon became clear that understanding these systems, now called spin glasses, would give rise to a new branch of statistical physics. As physical materials, spin glasses were found to be as useless as they were exotic. They have nevertheless been recognized as paradigmatic examples of complex systems with applications to problems as diverse as neural networks, amorphous solids, biological molecules, social and economic interactions, information theory and constraint satisfaction problems. This book presents an encyclopaedic overview of the broad range of these applications. More than 30 contributions are compiled, written by many of the leading researchers who have contributed to these developments over the last few decades. Some timely and cutting-edge applications are also discussed. This collection serves well as an introduction and summary of disordered and glassy systems for advanced undergraduates, graduate students and practitioners interested in the topic.

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ia/mathematicscompu0000wigd.pdf

Mathematics and Computation : A Theory Revolutionizing Technology and Science Avi Wigderson Princeton, NJ: Princeton University Press, Princeton University Press, Princeton, New Jersey, 2019

From the winner of the Turing Award and the Abel Prize, an introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophyMathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors.Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field's insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered.Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation.Comprehensive coverage of computational complexity theory, and beyondHigh-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific disciplineHistorical accounts of the evolution and motivations of central concepts and modelsA broad view of the theory of computation's influence on science, technology, and societyExtensive bibliography

English [en] · PDF · 32.1MB · 2019 · 📗 Book (unknown) · 🚀/ia · Save

lgli/Naoki Masuda & Renaud Lambiotte - A Guide to Temporal Networks.pdf

A Guide to Temporal Networks (Complexity Science) Naoki Masuda & Renaud Lambiotte WSPC (Europe), 1970

"Network science offers a powerful language to represent and study complex systems composed of interacting elements -- from the Internet to social and biological systems. In its standard formulation, this framework relies on the assumption that the underlying topology is static, or changing very slowly as compared to dynamical processes taking place on it, e.g., epidemic spreading or navigation. Fuelled by the increasing availability of longitudinal networked data, recent empirical observations have shown that this assumption is not valid in a variety of situations. Instead, often the network itself presents rich temporal properties and new tools are required to properly describe and analyse their behaviour. A Guide to Temporal Networks presents recent theoretical and modelling progress in the emerging field of temporally varying networks, and provides connections between different areas of knowledge required to address this multi-disciplinary subject. After an introduction to key concepts on networks and stochastic dynamics, the authors guide the reader through a coherent selection of mathematical and computational tools for network dynamics. Perfect for students and professionals, this book is a gateway to an active field of research developing between the disciplines of applied mathematics, physics and computer science, with applications in others including social sciences, neuroscience and biology"-- Provided by publisher

English [en] · PDF · 7.3MB · 1970 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save

ia/pnpnpcompletenes0000gold.pdf

P, NP, and NP-Completeness : The Basics of Computational Complexity Oded Goldreich Cambridge, UK: New York: Cambridge University Press, Cambridge University Press, Cambridge, 2010

The focus of this book is the P versus NP Question and the theory of NP-completeness. It also provides adequate preliminaries regarding computational problems and computational models. The P versus NP Question asks whether or not finding solutions is harder than checking the correctness of solutions. An alternative formulation asks whether or not discovering proofs is harder than verifying their correctness. It is widely believed that the answer to these equivalent formulations is positive, and this is captured by saying that P is different from NP. Although the P versus NP Question remains unresolved, the theory of NP-completeness offers evidence for the intractability of specific problems in NP by showing that they are universal for the entire class. Amazingly enough, NP-complete problems exist, and furthermore hundreds of natural computational problems arising in many different areas of mathematics and science are NP-complete.

English [en] · PDF · 12.0MB · 2010 · 📗 Book (unknown) · 🚀/ia · Save

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nexusstc/Genetic and Evolutionary Computing: Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume I), October ... Notes in Electrical Engineering, 1145)/f0a30dc6728a5f8669c2018922ab09d2.pdf

Genetic and Evolutionary Computing: Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume I), October ... Notes in Electrical Engineering, 1145) Jerry Chun-Wei Lin (editor), Chin-Shiuh Shieh (editor), Mong-Fong Horng (editor), Shu-Chuan Chu (editor) SPRINGER NATURE, 1st ed. 2024, FR, 2024

This first book of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6–8, 2023, in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers know the up-to-date techniques of the mentioned topics, including swarm intelligence and its applications, operational technologies and networked multimedia applications, wearable computing and intelligent data hiding, image processing and intelligent applications, and intelligent multimedia tools and applications. It helps readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs.

English [en] · PDF · 54.7MB · 2024 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc · Save

nexusstc/Mathematics For Computation (m4c)/05e4a890e9922aee226547c91b5624e2.pdf

Mathematics for Computation (M4C) Marco Benini (editor), Olaf Beyersdorff (editor), Michael Rathjen (editor), Peter Michael Schuster (editor) World Scientific Publishing Co Pte Ltd, World Scientific Publishing Company, Singapore, 2023

The overall topic of the volume, Mathematics for Computation (M4C), is mathematics taking crucially into account the aspect of computation, investigating the interaction of mathematics with computation, bridging the gap between mathematics and computation wherever desirable and possible, and otherwise explaining why not. Recently, abstract mathematics has proved to have more computational content than ever expected. Indeed, the axiomatic method, originally intended to do away with concrete computations, seems to suit surprisingly well the programs-from-proofs paradigm, with abstraction helping not only clarity but also efficiency. Unlike computational mathematics, which rather focusses on objects of computational nature such as algorithms, the scope of M4C generally encompasses all the mathematics, including abstract concepts such as functions. The purpose of M4C actually is a strongly theory-based and therefore, is a more reliable and sustainable approach to actual computation, up to the systematic development of verified software. While M4C is situated within mathematical logic and the related area of theoretical computer science, in principle it involves all branches of mathematics, especially those which prompt computational considerations. In traditional terms, the topics of M4C include proof theory, constructive mathematics, complexity theory, reverse mathematics, type theory, category theory and domain theory. The aim of this volume is to provide a point of reference by presenting up-to-date contributions by some of the most active scholars in each field. A variety of approaches and techniques are represented to give as wide a view as possible and promote cross-fertilization between different styles and traditions.

English [en] · PDF · 10.6MB · 2023 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

lgli/2903.pdf

Conquering Complexity Mike Hinchey (editor), Lorcan Coyle (editor) Springer; Brand: Springer, Springer Nature, London, 2012

Software has long been perceived as complex, at least within Software Engineering circles. We have been living in a recognised state of crisis since the first NATO Software Engineering conference in 1968. Time and again we have been proven unable to engineer reliable software as easily/cheaply as we imagined. Cost overruns and expensive failures are the norm. The problem is fundamentally one of complexity: software is fundamentally complex because it must be precise. Problems that appear to be specified quite easily in plain language become far more complex when written in a more formal notation, such as computer code. Comparisons with other engineering disciplines are deceptive. One cannot easily increase the factor of safety of software in the same way that one could in building a steel structure, for example. Software is typically built assuming perfection, often without adequate safety nets in case the unthinkable happens. In such circumstances it should not be surprising to find out that (seemingly) minor errors have the potential to cause entire software systems to collapse. The goal of this book is to uncover techniques that will aid in overcoming complexity and enable us to produce reliable, dependable computer systems that will operate as intended, and yet are produced on-time, in budget, and are evolvable, both over time and at run time. We hope that the contributions in this book will aid in understanding the nature of software complexity and provide guidance for the control or avoidance of complexity in the engineering of complex software systems.

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nexusstc/Proof Complexity (Encyclopedia of Mathematics and its Applications)/77012b1e57481f23d149d05d821f1430.pdf

Proof Complexity (Encyclopedia of Mathematics and its Applications, Series Number 170) Jan Krajíček Cambridge University Press (Virtual Publishing), Encyclopedia of Mathematics and its Applications (Book 170), 1, 2019

"Proof complexity is a rich subject drawing on methods from logic, combinatorics, algebra and computer science. This self-contained book presents the basic concepts, classical results, current state of the art and possible future directions in the field. It stresses a view of proof complexity as a whole entity rather than a collection of various topics held together loosely by a few notions, and it favors more generalizable statements. Lower bounds for lengths of proofs, often regarded as the key issue in proof complexity, are of course covered in detail. However, upper bounds are not neglected: this book also explores the relations between bounded arithmetic theories and proof systems and how they can be used to prove upper bounds on lengths of proofs and simulations among proof systems. It goes on to discuss topics that transcend specific proof systems, allowing for deeper understanding of the fundamental problems of the subject"-- Provided by publisher

English [en] · PDF · 3.6MB · 2019 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

lgli/Sipser M. Introduction to the Theory of Computation 3ed 2013.pdf

Introduction to the Theory of Computation Michael Sipser Course Technology Cengage Learning, 3. ed., internat. ed, Erscheinungsort nicht ermittelbar, 2013

Gain a clear understanding of even the most complex, highly theoretical computational theory topics in the approachable presentation found only in the market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E. The number one choice for today's computational theory course, this revision continues the book's well-know, approachable style with timely revisions, additional practice, and more memorable examples in key areas. A new first-of-its-kind theoretical treatment of deterministic context-free languages is ideal for a better understanding of parsing and LR(k) grammars. You gain a solid understanding of the fundamental mathematical properties of computer hardware, software, and applications with a blend of practical and philosophical coverage and mathematical treatments, including advanced theorems and proofs. INTRODUCTION TO THE THEORY OF COMPUTATION, 3E's comprehensive coverage makes this a valuable reference for your continued studies in theoretical computing.

English [en] · PDF · 25.0MB · 2013 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/zlib · Save

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ia/causalityprobabi0000klei.pdf

Causality, Probability, and Time Samantha Kleinberg, Stevens Institute of Technology, Hoboken, New Jersey Cambridge University Press (Virtual Publishing), Cambridge University Press, Cambridge, 2013

Causality is a key part of many fields and facets of life, from finding the relationship between diet and disease to discovering the reason for a particular stock market crash. Despite centuries of work in philosophy and decades of computational research, automated inference and explanation remains an open problem. In particular, the timing and complexity of relationships has been largely ignored even though this information is critically important for prediction, explanation, and intervention. However, given the growing availability of large observational datasets including those from electronic health records and social networks, it is a practical necessity. This book presents a new approach to inference (finding relationships from a set of data) and explanation (assessing why a particular event occurred), addressing both the timing and complexity of relationships. The practical use of the method developed is illustrated through theoretical and experimental case studies, demonstrating its feasibility and success.

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nexusstc/Toward Solving Complex Human Problems: Techniques for Increasing Our Understanding of What Matters in Doing So/7e8fc84f0a92a69e17658c5028d7ac64.epub

Toward Solving Complex Human Problems: Techniques for Increasing Our Understanding of What Matters in Doing So (Complex and Enterprise Systems Engineering) Brian E. White CRC Press, Complex and Enterprise Systems Engineering, 1, 2020

This book serves three basic purposes: (1) a tutorial-type reference for complex systems engineering (CSE) concepts and associated terminology, (2) a recommendation of a proposed methodology showing how the evolving practice of CSE can lead to a more unified theory, and (3) a complex systems (CSs) initiative for organizations to invest some of their resources toward helping to make the world a better place. A wide variety of technical practitioners--e.g., developers of new or improved systems (particularly systems engineers), program and project managers, associated staff/workers, funders and overseers, government executives, military officers, systems acquisition personnel, contract specialists, owners of large and small businesses, professional society members, and CS researchers--may be interested in further exploring these topics. Readers will learn more about CS characteristics and behaviors and CSE principles and will therefore be able to focus on techniques that will better serve them in their everyday work environments in dealing with complexity. The fundamental observation is that many systems inherently involve a deeper complexity because stakeholders are engaged in the enterprise. This means that such CSs are more difficult to invent, create, or improve upon because no one can be in total control since people cannot be completely controlled. Therefore, one needs to concentrate on trying to influence progress, then wait a suitable amount of time to see what happens, iterating as necessary. With just three chapters in this book, it seems to make sense to provide a tutorial introduction that readers can peruse only as necessary, considering their background and understanding, then a chapter laying out the suggested artifacts and methodology, followed by a chapter emphasizing worthwhile areas of application.

English [en] · EPUB · 0.8MB · 2020 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

upload/newsarch_ebooks_2025_10/2023/09/21/978-3-031-34827-3.epub

Programs as Diagrams: From Categorical Computability to Computable Categories (Theory and Applications of Computability) Dusko Pavlovic Springer Nature Switzerland AG, Theory and Applications of Computability, 1, 2023

It is not always clear what computer programs mean in the various languages in which they can be written, yet a picture can be worth 1000 words, a diagram 1000 instructions. In this unique textbook/reference, programs are drawn as string diagrams in the language of categories, which display a universal syntax of mathematics (Computer scientists use them to analyze the program semantics; programmers to display the syntax of computations). Here, the string-diagrammatic depictions of computations are construed as programs in a single-instruction programming language. Such programs as diagrams show how functions are packed in boxes and tied by strings. Readers familiar with categories will learn about the foundations of computability; readers familiar with computability gain access to category theory. Additionally, readers familiar with both are offered many opportunities to improve the approach. While programmers program computers in a great variety of languages, mathematicians study mathematics in a great variety of completely different languages. A great variety of languages is a good thing, provided that the languages do not isolate but diversify the views of the world and that there are multi-lingual communities to connect them. Many mathematicians speak programming languages; many programmers are conversant with mathematics. The language of categories seems convenient for both, and to some extent connects the communities. In this book, we use a categorical language based on string diagrams that is so basic that it must be contained in every mathematical model of computation, and so compact that every programming language must project onto it. It evolved through many years of teaching mathematics of computation. The diversity of the mathematical and the programming languages makes such teaching and learning tasks into lengthy affairs, loaded with standard prerequisites. By peeling off what got standardized by accident and following the shortcuts that emerged, and then peeling off what became unnecessary after that, we arrived at a mathematical model of computation generated by a single diagrammatic element, which is also a single-instruction programming language. I know it sounds crazy, but read on. Topics and features: Delivers a ‘crash’ diagram-based course in theory of computation Uses single-instruction diagrammatic programming language Offers a practical introduction into categories and string diagrams as computational tools Reveals how computability is programmability, rather than an ‘ether’ permeating computers Provides a categorical model of intensional computation is unique up to isomorphism Serves as a stepping stone into research of computable categories In addition to its early chapters introducing computability for beginners, this flexible textbook/resource also contains both middle chapters that expand for suitability to a graduate course as well as final chapters opening up new research.

English [en] · EPUB · 20.9MB · 2023 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

15 MAS ALLA DEL METAL. LA VIDA DE UN FISICULTURISTA NOVATO COMO EXPERIMENTO ETNOGRAFICO AUTOR CAMILO ANDRES FERNANDEZ BLANDON Andres Fernandez Springer International Publishing : Imprint: Springer, Springer Nature, Switzerland, 2016

This book gives a wide-ranging description of the many facets of complex dynamic networks and systems within an infrastructure provided by integrated control and supervision: envisioning, design, experimental exploration, and implementation. The theoretical contributions and the case studies presented can reach control goals beyond those of stabilization and output regulation or even of adaptive control. Reporting on work of the Control of Complex Systems (COSY) research program, Complex Systems follows from and expands upon an earlier collection: Control of Complex Systems by introducing novel theoretical techniques for hard-to-control networks and systems. The major common feature of all the superficially diverse contributions encompassed by this book is that of spotting and exploiting possible areas of mutual reinforcement between control, computing and communications. These help readers to achieve not only robust stable plant system operation but also properties such as collective adaptivity, integrity and survivability at the same time retaining desired performance quality. Applications in the individual chapters are drawn from: · the general implementation of model-based diagnosis and systems engineering in medical technology, in communication, and in power and airport networks; · the creation of biologically inspired control brains and safety-critical human{u2013}machine systems; · process-industrial uses; · biped robots; · large space structures and unmanned aerial vehicles; and · precision servomechanisms and other advanced technologies. Complex Systems provides researchers from engineering, applied mathematics and computer science backgrounds with innovative theoretical and practical insights into the state-of-the-art of complex networks and systems research. It employs physical implementations and extensive computer simulations. Graduate students specializing in complex-systems research will also learn much from this collection

English [en] · Spanish [es] · FB2 · 0.9MB · 2016 · 📗 Book (unknown) · 🚀/zlib · Save

nexusstc/Toward Solving Complex Human Problems: Techniques for Increasing Our Understanding of What Matters in Doing So/e02d26d1c4bc9a5cb136aa357256cb25.pdf

Toward Solving Complex Human Problems: Techniques for Increasing Our Understanding of What Matters in Doing So (Complex and Enterprise Systems Engineering) Brian E. White CRC Press, Complex and Enterprise Systems Engineering, 1, 2020

This book serves three basic purposes: (1) a tutorial-type reference for complex systems engineering (CSE) concepts and associated terminology, (2) a recommendation of a proposed methodology showing how the evolving practice of CSE can lead to a more unified theory, and (3) a complex systems (CSs) initiative for organizations to invest some of their resources toward helping to make the world a better place. A wide variety of technical practitioners--e.g., developers of new or improved systems (particularly systems engineers), program and project managers, associated staff/workers, funders and overseers, government executives, military officers, systems acquisition personnel, contract specialists, owners of large and small businesses, professional society members, and CS researchers--may be interested in further exploring these topics. Readers will learn more about CS characteristics and behaviors and CSE principles and will therefore be able to focus on techniques that will better serve them in their everyday work environments in dealing with complexity. The fundamental observation is that many systems inherently involve a deeper complexity because stakeholders are engaged in the enterprise. This means that such CSs are more difficult to invent, create, or improve upon because no one can be in total control since people cannot be completely controlled. Therefore, one needs to concentrate on trying to influence progress, then wait a suitable amount of time to see what happens, iterating as necessary. With just three chapters in this book, it seems to make sense to provide a tutorial introduction that readers can peruse only as necessary, considering their background and understanding, then a chapter laying out the suggested artifacts and methodology, followed by a chapter emphasizing worthwhile areas of application.

English [en] · PDF · 3.7MB · 2020 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

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lgli/Michael Sipser - Introduction to the Theory of Computation, Third Edition (2013, Cengage Learning).pdf

Introduction to the Theory of Computation, Third Edition Michael Sipser Course Technology Cengage Learning, 3. ed., internat. ed, Erscheinungsort nicht ermittelbar, 2013

Gain a clear understanding of even the most complex, highly theoretical computational theory topics in the approachable presentation found only in the market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E. The number one choice for today's computational theory course, this revision continues the book's well-know, approachable style with timely revisions, additional practice, and more memorable examples in key areas. A new first-of-its-kind theoretical treatment of deterministic context-free languages is ideal for a better understanding of parsing and LR(k) grammars. You gain a solid understanding of the fundamental mathematical properties of computer hardware, software, and applications with a blend of practical and philosophical coverage and mathematical treatments, including advanced theorems and proofs. INTRODUCTION TO THE THEORY OF COMPUTATION, 3E's comprehensive coverage makes this a valuable reference for your continued studies in theoretical computing.

English [en] · PDF · 73.4MB · 2013 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save

Smart Decisions in Complex Systems Pierre Massotte, Patrick Corsi John Wiley & Sons, John Wiley & Sons, Inc., London, UK, 2017

Faced with ever-increasing complexity on a daily basis, the decision-makers of today are struggling to find the appropriate models, methods and tools to face the issues arising in complex systems across all levels of global operations. Having, in the past, resorted to outdated approaches which limit problem-solving to linear world views, we must now capitalize on complexities in order to succeed and progress in our society. This book provides a guide to harnessing the wealth inherent to complex systems. It organizes the transition to complex decision-making in all business spheres while providing many examples in various application domains. The authors offer fresh developments for understanding and mastering the global “uberization” of the economy, the post-modern management of computer-assisted production and the rise of cognitive robotics science applications.

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upload/newsarch_ebooks/2018/06/22/3319773313.epub

Complex Spreading Phenomena in Social Systems : Influence and Contagion in Real-World Social Networks Sune Lehmann; Yong-Yeol Ahn; SpringerLink (Online service) Springer International Publishing, Cham, Springer Nature, Cham, 2018

This text is about spreading of information and influence in complex networks. Although previously considered similar and modeled in parallel approaches, there is now experimental evidence that epidemic and social spreading work in subtly different ways. While previously explored through modeling, there is currently an explosion of work on revealing the mechanisms underlying complex contagion based on big data and data-driven approaches. This volume consists of four parts. Part 1 is an Introduction, providing an accessible summary of the state of the art. Part 2 provides an overview of the central theoretical developments in the field. Part 3 describes the empirical work on observing spreading processes in real-world networks. Finally, Part 4 goes into detail with recent and exciting new developments: dedicated studies designed to measure specific aspects of the spreading processes, often using randomized control trials to isolate the network effect from confounders, such as homophily. Each contribution is authored by leading experts in the field. This volume, though based on technical selections of the most important results on complex spreading, remains quite accessible to the newly interested. The main benefit to the reader is that the topics are carefully structured to take the novice to the level of expert on the topic of social spreading processes. This book will be of great importance to a wide field: from researchers in physics, computer science, and sociology to professionals in public policy and public health.

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upload/newsarch_ebooks_2025_10/2022/05/12/Algorithms and Theory of Computation Handbook - 2 Volume Set.pdf

Algorithms and Theory of Computation Handbook; Second Edition Mikhail J. Atallah & Marina Blanton CRC Press, CRC Press (Unlimited), Boca Raton, 2010

Algorithms and Theory of Computation Handbook, Second Edition in a two volume set, provides an up-to-date compendium of fundamental computer science topics and techniques. It also illustrates how the topics and techniques come together to deliver efficient solutions to important practical problems. New to the Second Edition: Along with updating and revising many of the existing chapters, this second edition contains more than 20 new chapters. This edition now covers external memory, parameterized, self-stabilizing, and pricing algorithms as well as the theories of algorithmic coding, privacy and anonymity, databases, computational games, and communication networks. It also discusses computational topology, computational number theory, natural language processing, and grid computing and explores applications in intensity-modulated radiation therapy, voting, DNA research, systems biology, and financial derivatives. This best-selling handbook continues to help computer professionals and engineers find significant information on various algorithmic topics. The expert contributors clearly define the terminology, present basic results and techniques, and offer a number of current references to the in-depth literature. They also provide a glimpse of the major research issues concerning the relevant topics Cover 1 Volume 1 2 Cover 2 Title 3 Series 4 Copyright 6 Contents 7 Preface 11 Editors 13 Contributors 15 1 Algorithm Design and Analysis Techniques 19 2 Searching 47 3 Sorting and Order Statistics 63 4 Basic Data Structures 91 5 Topics in Data Structures 117 6 Multidimensional Data Structures for Spatial Applications 147 7 Basic Graph Algorithms 189 8 Advanced Combinatorial Algorithms 213 9 Dynamic Graph Algorithms 237 10 External-Memory Algorithms and Data Structures 265 11 Average Case Analysis of Algorithms 297 12 Randomized Algorithms 337 13 Pattern Matching in Strings 361 14 Text Data Compression Algorithms 391 15 General Pattern Matching 417 16 Computational Number Theory 439 17 Algebraic and Numerical Algorithms 463 18 Applications of FFT and Structured Matrices 497 19 Basic Notions in Computational Complexity 529 20 Formal Grammars and Languages 551 21 Computability 577 22 Complexity Classes 599 23 Reducibility and Completeness 623 24 Other Complexity Classes and Measures 653 25 Parameterized Algorithms 681 26 Computational Learning Theory 711 27 Algorithmic Coding Theory 735 28 Parallel Computation: Models and Complexity Issues 761 29 Distributed Computing: A Glimmer of a Theory 789 30 Linear Programming 809 31 Integer Programming 849 32 Convex Optimization 897 33 Simulated Annealing Techniques 937 34 Approximation Algorithms for NP-Hard Optimization Problems 955 Volume 2 975 Cover 975 Title 976 Series 977 Copyright 979 Contents 980 Preface 984 Editors 986 Contributors 988 1 Computational Geometry I 992 2 Computational Geometry II 1024 3 Computational Topology 1056 4 Robot Algorithms 1088 5 Vision and Image Processing Algorithms 1116 6 Graph Drawing Algorithms 1140 7 Algorithmics in Intensity-Modulated Radiation Therapy 1168 8 VLSI Layout Algorithms 1190 9 Cryptographic Foundations 1216 10 Encryption Schemes 1232 11 Cryptanalysis 1262 12 Crypto Topics and Applications I 1278 13 Crypto Topics and Applications II 1310 14 Secure Multiparty Computation 1342 15 Voting Schemes 1358 16 Auction Protocols 1380 17 Pseudorandom Sequences and Stream Ciphers 1400 18 Theory of Privacy and Anonymity 1424 19 Database Theory: Query Languages 1460 20 Scheduling Algorithms 1494 21 Computational Game Theory: An Introduction 1528 22 Artificial Intelligence Search Algorithms 1556 23 Algorithmic Aspects of Natural Language Processing 1580 24 Algorithmic Techniques for Regular Networks of Processors 1598 25 Parallel Algorithms 1618 26 Self-Stabilizing Algorithms 1662 27 Theory of Communication Networks 1708 28 Network Algorithmsics 1744 29 Algorithmic Issues in Grid Computing 1776 30 Uncheatable Grid Computing 1806 31 DNA Computing: A Research Snapshot 1828 32 Computational Systems Biology 1852 33 Pricing Algorithms for Financial Derivatives 1878 Algorithms;,Cryptographic;,Pseudorandom Algorithms,Cryptographic,Pseudorandom

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15 MAS ALLA DEL METAL. LA VIDA DE UN FISICULTURISTA NOVATO COMO EXPERIMENTO ETNOGRAFICO AUTOR CAMILO ANDRES FERNANDEZ BLANDON Andres Fernandez Springer International Publishing : Imprint: Springer, Springer Nature, Switzerland, 2016

This book gives a wide-ranging description of the many facets of complex dynamic networks and systems within an infrastructure provided by integrated control and supervision: envisioning, design, experimental exploration, and implementation. The theoretical contributions and the case studies presented can reach control goals beyond those of stabilization and output regulation or even of adaptive control. Reporting on work of the Control of Complex Systems (COSY) research program, Complex Systems follows from and expands upon an earlier collection: Control of Complex Systems by introducing novel theoretical techniques for hard-to-control networks and systems. The major common feature of all the superficially diverse contributions encompassed by this book is that of spotting and exploiting possible areas of mutual reinforcement between control, computing and communications. These help readers to achieve not only robust stable plant system operation but also properties such as collective adaptivity, integrity and survivability at the same time retaining desired performance quality. Applications in the individual chapters are drawn from: · the general implementation of model-based diagnosis and systems engineering in medical technology, in communication, and in power and airport networks; · the creation of biologically inspired control brains and safety-critical human{u2013}machine systems; · process-industrial uses; · biped robots; · large space structures and unmanned aerial vehicles; and · precision servomechanisms and other advanced technologies. Complex Systems provides researchers from engineering, applied mathematics and computer science backgrounds with innovative theoretical and practical insights into the state-of-the-art of complex networks and systems research. It employs physical implementations and extensive computer simulations. Graduate students specializing in complex-systems research will also learn much from this collection

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Toward Solving Complex Human Problems; Techniques for Increasing Our Understanding of What Matters in Doing So; 1 White Brian E. & White Brian CRC Press, CRC Press (Unlimited), Boca Raton, FL, 2021

This book serves three basic purposes: (1) a tutorial-type reference for complex systems engineering (CSE) concepts and associated terminology, (2) a recommendation of a proposed methodology showing how the evolving practice of CSE can lead to a more unified theory, and (3) a complex systems (CSs) initiative for organizations to invest some of their resources toward helping to make the world a better place. A wide variety of technical practitioners--e.g., developers of new or improved systems (particularly systems engineers), program and project managers, associated staff/workers, funders and overseers, government executives, military officers, systems acquisition personnel, contract specialists, owners of large and small businesses, professional society members, and CS researchers--may be interested in further exploring these topics. Readers will learn more about CS characteristics and behaviors and CSE principles and will therefore be able to focus on techniques that will better serve them in their everyday work environments in dealing with complexity. The fundamental observation is that many systems inherently involve a deeper complexity because stakeholders are engaged in the enterprise. This means that such CSs are more difficult to invent, create, or improve upon because no one can be in total control since people cannot be completely controlled. Therefore, one needs to concentrate on trying to influence progress, then wait a suitable amount of time to see what happens, iterating as necessary. With just three chapters in this book, it seems to make sense to provide a tutorial introduction that readers can peruse only as necessary, considering their background and understanding, then a chapter laying out the suggested artifacts and methodology, followed by a chapter emphasizing worthwhile areas of application

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nexusstc/Mathematics For Computation (m4c)/5a20dae28ea5e4230cec325d401ce99e.pdf

Mathematics For Computation (m4c) Marco Benini (editor), Olaf Beyersdorff (editor), Michael Rathjen (editor), Peter Michael Schuster (editor) World Scientific Publishing Co Pte Ltd, World Scientific Publishing Company, Singapore, 2023

The overall topic of the volume, Mathematics for Computation (M4C), is mathematics taking crucially into account the aspect of computation, investigating the interaction of mathematics with computation, bridging the gap between mathematics and computation wherever desirable and possible, and otherwise explaining why not. Recently, abstract mathematics has proved to have more computational content than ever expected. Indeed, the axiomatic method, originally intended to do away with concrete computations, seems to suit surprisingly well the programs-from-proofs paradigm, with abstraction helping not only clarity but also efficiency. Unlike computational mathematics, which rather focusses on objects of computational nature such as algorithms, the scope of M4C generally encompasses all the mathematics, including abstract concepts such as functions. The purpose of M4C actually is a strongly theory-based and therefore, is a more reliable and sustainable approach to actual computation, up to the systematic development of verified software. While M4C is situated within mathematical logic and the related area of theoretical computer science, in principle it involves all branches of mathematics, especially those which prompt computational considerations. In traditional terms, the topics of M4C include proof theory, constructive mathematics, complexity theory, reverse mathematics, type theory, category theory and domain theory. The aim of this volume is to provide a point of reference by presenting up-to-date contributions by some of the most active scholars in each field. A variety of approaches and techniques are represented to give as wide a view as possible and promote cross-fertilization between different styles and traditions.

English [en] · PDF · 10.9MB · 2023 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

15 MAS ALLA DEL METAL. LA VIDA DE UN FISICULTURISTA NOVATO COMO EXPERIMENTO ETNOGRAFICO AUTOR CAMILO ANDRES FERNANDEZ BLANDON Andres Fernandez Springer International Publishing : Imprint: Springer, Springer Nature, Switzerland, 2016

This book gives a wide-ranging description of the many facets of complex dynamic networks and systems within an infrastructure provided by integrated control and supervision: envisioning, design, experimental exploration, and implementation. The theoretical contributions and the case studies presented can reach control goals beyond those of stabilization and output regulation or even of adaptive control. Reporting on work of the Control of Complex Systems (COSY) research program, Complex Systems follows from and expands upon an earlier collection: Control of Complex Systems by introducing novel theoretical techniques for hard-to-control networks and systems. The major common feature of all the superficially diverse contributions encompassed by this book is that of spotting and exploiting possible areas of mutual reinforcement between control, computing and communications. These help readers to achieve not only robust stable plant system operation but also properties such as collective adaptivity, integrity and survivability at the same time retaining desired performance quality. Applications in the individual chapters are drawn from: · the general implementation of model-based diagnosis and systems engineering in medical technology, in communication, and in power and airport networks; · the creation of biologically inspired control brains and safety-critical human{u2013}machine systems; · process-industrial uses; · biped robots; · large space structures and unmanned aerial vehicles; and · precision servomechanisms and other advanced technologies. Complex Systems provides researchers from engineering, applied mathematics and computer science backgrounds with innovative theoretical and practical insights into the state-of-the-art of complex networks and systems research. It employs physical implementations and extensive computer simulations. Graduate students specializing in complex-systems research will also learn much from this collection

English [en] · Spanish [es] · LIT · 0.6MB · 2016 · 📗 Book (unknown) · 🚀/zlib · Save

lgli/Krajíček, Jan (2019), Proof Complexity (Encyclopedia of Mathematics and its Applications).pdf

Proof Complexity (Encyclopedia of Mathematics and its Applications, Series Number 170) Jan Krajíček Cambridge University Press (Virtual Publishing), Encyclopedia of mathematics and its applications, 170, Cambridge, 2019

"Proof complexity is a rich subject drawing on methods from logic, combinatorics, algebra and computer science. This self-contained book presents the basic concepts, classical results, current state of the art and possible future directions in the field. It stresses a view of proof complexity as a whole entity rather than a collection of various topics held together loosely by a few notions, and it favors more generalizable statements. Lower bounds for lengths of proofs, often regarded as the key issue in proof complexity, are of course covered in detail. However, upper bounds are not neglected: this book also explores the relations between bounded arithmetic theories and proof systems and how they can be used to prove upper bounds on lengths of proofs and simulations among proof systems. It goes on to discuss topics that transcend specific proof systems, allowing for deeper understanding of the fundamental problems of the subject"-- Read more...

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nexusstc/Approximate Degree in Classical and Quantum Computing/75e443c03c3738d326140831c16a51a8.pdf

Approximate Degree in Classical and Quantum Computing Mark Bun, Justin Thaler NOW PUBLISHERS INC, Foundations and trends in theoretical computer science, S.l, 2023

The ability (or inability) to represent or approximate Boolean functions by polynomials is a central concept in complexity theory, underlying interactive and probabilistically checkable proof systems, circuit lower bounds, quantum complexity theory, and more. In this book, the authors survey what is known about a particularly natural notion of approximation by polynomials, capturing pointwise approximation over the real numbers. This book covers recent progress on proving approximate degree lower and upper bounds and describes some applications of the new bounds to oracle separations, quantum query and communication complexity, and circuit complexity. The authors explain how several of these advances have been unlocked by a particularly simple and elegant technique, called dual block composition, for constructing solutions to this dual linear program. They also provide concise coverage of even more recent lower bound techniques based on a new complexity measure called spectral sensitivity. Finally, they show how explicit constructions of approximating polynomials have been inspired by quantum query algorithms. This book provides a comprehensive review of the foundational and recent developments of an important topic in both classical and quantum computing. The reader has a considerable body of knowledge condensed in an accessible form to quickly understand the principles and further their own research.

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ia/bayeslinearstati0000gold.pdf

Bayes Linear Statistics : Theory and Methods Michael Goldstein and David Wooff Wiley-Interscience, John Wiley & Sons, Inc., Chichester, England, 2007

Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. The methodology differs from the full Bayesian methodology in that it establishes simpler approaches to belief specification and analysis based around expectation judgements. Bayes Linear Statistics presents an authoritative account of this approach, explaining the foundations, theory, methodology, and practicalities of this important field. The text provides a thorough coverage of Bayes linear analysis, from the development of the basic language to the collection of algebraic results needed for efficient implementation, with detailed practical examples. The book covers: The importance of partial prior specifications for complex problems where it is difficult to supply a meaningful full prior probability specification. Simple ways to use partial prior specifications to adjust beliefs, given observations. Interpretative and diagnostic tools to display the implications of collections of belief statements, and to make stringent comparisons between expected and actual observations. General approaches to statistical modelling based upon partial exchangeability judgements. Bayes linear graphical models to represent and display partial belief specifications, organize computations, and display the results of analyses. Bayes Linear Statistics is essential reading for all statisticians concerned with the theory and practice of Bayesian methods. There is an accompanying website hosting free software and guides to the calculations within the book.

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ia/foundationsofcom0000nico.pdf

Foundations of complex systems : nonlinear dynamics, statistical physics, information and prediction Gregoire Nicolis; Catherine Nicolis World Scientific Publishing Company; World Scientific Publishing Co Pte Ltd, World Scientific Publishing Company, Hackensack, N.J., 2007

xiv, 328 pages : 24 cm "Complexity is emerging as a Post-Newtonian paradigm for approaching a large body of phenomena of concern at the crossroads of physical, engineering, environmental, life and human sciences from a unifying point of view. This book outlines the foundations of modern complexity research as it arose from the cross-fertilization of ideas and tools from nonlinear science, statistical physics and numerical simulation. It is shown how these developments lead to an understanding, both qualitative and quantitative, of the complex systems encountered in nature and in everyday experience and, conversely, how natural complexity acts as a source of inspiration for progress at the fundamental level."--BOOK JACKET Includes bibliographical references and index

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nexusstc/Instructor Solution Manual To Accompany Introduction to the Theory of Computation, Third Edition (Intro Theory Computation, 3rd ed, 3e, Solutions)/48e30972587d0bca86ff1677459ed101.pdf

Instructor Solution Manual To Accompany Introduction to the Theory of Computation, Third Edition (Intro Theory Computation, 3rd ed, 3e, Solutions) M. (Michael) Sipser Course Technology Cengage Learning, 3, 2012

the official solutions manual for the \*third edition\* of the classic tome.

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nexusstc/Learning Functional Programming: Managing Code Complexity by Thinking Functionally/0603b5a6fe996af00030d3f331d6d367.epub

Learning functional programming : managing code complexity by thinking functionally Jack Widman O'Reilly Media, Incorporated, USA, August 11th 2022

Learn how to think and write code like a functional programmer. With this practical guide, software developers familiar with object-oriented programming will dive into the core concepts of functional programming and learn how to use both functional and OOP features together on large or complex software projects. Author Jack Widman uses samples from Java, Python, C#, Scala, and JavaScript to help you gain a new perspective and a set of tools for managing the complexity in your problem domain. You'll be able to write code that's simpler, reusable, easier to test and modify, and more consistently correct. This book also shows you how to use patterns from category theory to help bridge the gap between OOP and functional programming. Learn functional programming fundamentals and explore the way functional programmers approach problems Understand how FP differs from object-oriented and imperative programming Use a set of practical, applicable design patterns that model reality in a functional way Learn how to incorporate FP and OOP features into software projects Apply functional design patterns appropriately and use them to write correct, robust, and easily modifiable code

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lgli/Дауни - Изучение сложных систем с помощью Python 2е - 2019.pdf

Изучение сложных систем с помощью Python Аллен Б. Дауни; пер. с англ. Д. А. Беликова ДМК Пресс, 2, 2019

Наука о сложных системах – это междисциплинарная область на стыке математики, информатики и естествознания, которая фокусируется на сложных системах, представляющих собой системы со множеством взаимодействующих компонентов. Одним из основных инструментов науки о сложных системах являются дискретные модели, включая сети и графы, клеточные автоматы и агентное моделирование. Наука о сложных системах полезна, особенно если необходимо объяснить поведение природных и социальных систем, она обеспечивает разнообразный и адаптируемый инструментарий моделирования, позволяет применить навыки программирования и поразмыслить над фундаментальными вопросами философии науки. В книге приводится код, математические тексты и пояснения, необходимые для понимания работы моделей.

English [en] · Russian [ru] · PDF · 4.6MB · 2019 · 📘 Book (non-fiction) · 🚀/lgli/lgrs · Save

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upload/newsarch_ebooks_2025_10/2023/09/21/3031348265.pdf

Programs as Diagrams: From Categorical Computability to Computable Categories (Theory and Applications of Computability) Dusko Pavlovic Springer International Publishing, Theory and Applications of Computability, 1, 2023

It is not always clear what computer programs mean in the various languages in which they can be written, yet a picture can be worth 1000 words, a diagram 1000 instructions. In this unique textbook/reference, programs are drawn as string diagrams in the language of categories, which display a universal syntax of mathematics (Computer scientists use them to analyze the program semantics; programmers to display the syntax of computations). Here, the string-diagrammatic depictions of computations are construed as programs in a single-instruction programming language. Such programs as diagrams show how functions are packed in boxes and tied by strings. Readers familiar with categories will learn about the foundations of computability; readers familiar with computability gain access to category theory. Additionally, readers familiar with both are offered many opportunities to improve the approach. While programmers program computers in a great variety of languages, mathematicians study mathematics in a great variety of completely different languages. A great variety of languages is a good thing, provided that the languages do not isolate but diversify the views of the world and that there are multi-lingual communities to connect them. Many mathematicians speak programming languages; many programmers are conversant with mathematics. The language of categories seems convenient for both, and to some extent connects the communities. In this book, we use a categorical language based on string diagrams that is so basic that it must be contained in every mathematical model of computation, and so compact that every programming language must project onto it. It evolved through many years of teaching mathematics of computation. The diversity of the mathematical and the programming languages makes such teaching and learning tasks into lengthy affairs, loaded with standard prerequisites. By peeling off what got standardized by accident and following the shortcuts that emerged, and then peeling off what became unnecessary after that, we arrived at a mathematical model of computation generated by a single diagrammatic element, which is also a single-instruction programming language. I know it sounds crazy, but read on. Topics and features: Delivers a ‘crash’ diagram-based course in theory of computation Uses single-instruction diagrammatic programming language Offers a practical introduction into categories and string diagrams as computational tools Reveals how computability is programmability, rather than an ‘ether’ permeating computers Provides a categorical model of intensional computation is unique up to isomorphism Serves as a stepping stone into research of computable categories In addition to its early chapters introducing computability for beginners, this flexible textbook/resource also contains both middle chapters that expand for suitability to a graduate course as well as final chapters opening up new research.

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upload/bibliotik/T/Think Complexity (2nd Edition) - Allen Downey.epub

Think Complexity : Complexity Science and Computational Modeling Allen B Downey; O'Reilly Media O'Reilly Media, Incorporated, O'Reilly Media, Beijing, 2018

Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you'll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics. Whether you're an intermediate-level Python programmer or a student of computational modeling, you'll delve into examples of complex systems through a series of worked examples, exercises, case studies, and easy-to-understand explanations. In this updated second edition, you will: Work with NumPy arrays and SciPy methods, including basic signal processing and Fast Fourier Transform, Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines, Get Jupyter notebooks filled with starter code and solutions to help you re-implement and extend original experiments in complexity; and models of computation like Turmites, Turing machines, and cellular automata, Explore the philosophy of science, including the nature of scientific laws, theory choice, and realism and instrumentalism. Ideal as a text for a course on computational modeling in Python, Think Complexity also helps self-learners gain valuable experience with topics and ideas they might not encounter otherwise. --Back cover

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upload/newsarch_ebooks_2025_10/2022/08/12/Learning Functional Programming.epub

Learning functional programming : managing code complexity by thinking functionally Jack Widman O'Reilly Media, Incorporated, USA, August 11th 2022

Learn how to think and write code like a functional programmer. With this practical guide, software developers familiar with object-oriented programming will dive into the core concepts of functional programming and learn how to use both functional and OOP features together on large or complex software projects. Author Jack Widman uses samples from Java, Python, C#, Scala, and JavaScript to help you gain a new perspective and a set of tools for managing the complexity in your problem domain. You'll be able to write code that's simpler, reusable, easier to test and modify, and more consistently correct. This book also shows you how to use patterns from category theory to help bridge the gap between OOP and functional programming. - Learn functional programming fundamentals and explore the way functional programmers approach problems - Understand how FP differs from object-oriented and imperative programming - Use a set of practical, applicable design patterns that model reality in a functional way - Learn how to incorporate FP and OOP features into software projects - Apply functional design patterns appropriately and use them to write correct, robust, and easily modifiable code

English [en] · EPUB · 2.0MB · 2022 · 📘 Book (non-fiction) · 🚀/lgli/upload/zlib · Save

duxiu/initial_release/DISCRETE ALGORITHMS AND COMPLEXITY_40496608.zip

Discrete Algorithms and Complexity : Proceedings of the Japan-US Joint Seminar, June 4 – 6, 1986, Kyoto, Japan David S Johnson, Nihon Gakujutsu Shinkōkai, National Science Foundation (U.S.), Japan-US Joint Seminar on Discrete Algorithms and Complexity Theory, David S Johnson, Japan US Joint Seminar on Discrete Algorithms and Complexity Theory <1986, Kyōto> Academic Press, Incorporated, 1987, 1987

Perspectives in Computing, Volume 15: Discrete Algorithms and Complexity provides an understanding of discrete algorithms and complexity. This book covers a variety of topics, including discrete logarithm algorithms, parallel bubbling, electronic prototyping, number theoretic complexity, and linear programming. Organized into 27 chapters, this volume begins with an overview of the basic solutions of the primal and dual that can be characterized in graph-theoretic terms. This text then explores the principal partition of vertex-weighted graphs, which is utilized to solve certain assignment problems or flow problems that are formulated using such graphs. Other chapters consider a polynomial-time algorithm for finding the geodesic center of a simple polygon. This book discusses as well the three efficient algorithms for the routing problems around a rectangle. The final chapter deals with a snoopy cache multiprocessor system wherein each processor has a cache in which it stores blocks of data. This book is a valuable resource for mathematicians and researchers.

English [en] · PDF · 110.5MB · 1987 · 📗 Book (unknown) · 🚀/duxiu/zlibzh · Save

ia/randomnessthroug0000hect.pdf

Randomness through computation : some answers, more questions Hector Zenil; World Scientific (Firm) World Scientific Publishing Company, World Scientific Publishing Company, Singapore, 2011

This review volume consists of a set of chapters written by leading scholars, most of them founders of their fields. The volume is intended to explain the phenomenon of Randomness through the use of Computation, and to explore the connections of Randomness to other areas of scientific knowledge, especially its fruitful relationship to Computability and Complexity Theory, and also to areas such as Probability, Statistics, Information Theory, Biology, Physics, Quantum Mechanics, Learning Theory and Artificial Intelligence . The contributors cover these topics without neglecting important philosophical dimensions, sometimes going beyond the purely technical to formulate age old questions relating to matters such as determinism and free will. The scope of Randomness Through Computation is novel. Each contributor shares their personal views and anecdotes on the various reasons and motivations which led them to the study of Randomness. Using a question and answer format, they share their visions from their several distinctive vantage points. The following are the sections in which the contributions have been Stochastic Randomness and Probabilistic Deliberations | Randomness and Computation in Connection to the Physical World | Algorithmic Inference and Artificial Intelligence | Computational Complexity, Randomized Algorithms and Applications. Excerpt from ACM Computing Reviews . Date 22 Feb, 2012: I couldn't put this book down . Its presentation of a computational approach to randomness, with its strong focus on applications, is the best I have read. It is carefully edited and comprises several chapters--most of them are by leading experts, and some are even the founders of their respective fields....I thoroughly enjoyed reading this gem of a book. Its target audience includes post-graduates and researchers in CS, statistics, applied mathematics, and related disciplines. It is surely a must-have book for any scientific library. Apart from research, the book also serves pedagogical and philosophical Soubhik Chakraborty ACM Review #: CR139897 Full review online at the ACM Computing Reviews website.

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upload/newsarch_ebooks_2025_10/2022/11/29/3030735389_Complex.pdf

Complex Systems Design & Management : Proceedings of the 4th International Conference on Complex Systems Design & Management Asia and of the 12th Conference on Complex Systems Design & Management CSD&M 2021 Daniel Krob (editor), Lefei Li (editor), Junchen Yao (editor), Hongjun Zhang (editor), Xinguo Zhang (editor) Springer International Publishing AG, 1st ed. 2021, 2021

This book contains all refereed papers accepted during the fourth asia-pacific edition & twelve edition – which were merged this year – of the CSD&M conference that took place in Beijing, People’s Republic of China by 2021. Mastering complex systems requires an integrated understanding of industrial practices as well as sophisticated theoretical techniques and tools. This explains the creation of an annual go-between European and Asian forum dedicated to academic researchers & industrial actors working on complex industrial systems architecting, modeling & engineering. These proceedings cover the most recent trends in the emerging field of complex systems, both from an academic and professional perspective. A special focus was put this year on “Digital Transformation in Complex Systems Engineering”. CESAM Community The CSD&M series of conferences are organized under the guidance of CESAM Community, managed by CESAMES. CESAM Community aims in organizing the sharing of good practices in systems architecting and model-based systems engineering (MBSE) and certifying the level of knowledge and proficiency in this field through the CESAM certification. The CESAM systems architecting & model-based systems engineering (MBSE) certification is especially currently the most disseminated professional certification in the world in this domain through more than 1,000 real complex system development projects on which it was operationally deployed and around 10,000 engineers who were trained on the CESAM framework at international level.

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lgli/kolxo3-65/Cs_Computer science/CsNp_Computability/Sipser M. Introduction to the Theory of Computation (3ed., Cengage, 2012)(ISBN 113318779X)(O)(482s)_CsNp_.pdf

Introduction to the Theory of Computation Sipser, Michael Course Technology Cengage Learning, 3ed., 2012

Gain a clear understanding of even the most complex, highly theoretical computational theory topics in the approachable presentation found only in the market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E. The number one choice for today's computational theory course, this revision continues the book's well-know, approachable style with timely revisions, additional practice, and more memorable examples in key areas. A new first-of-its-kind theoretical treatment of deterministic context-free languages is ideal for a better understanding of parsing and LR(k) grammars. You gain a solid understanding of the fundamental mathematical properties of computer hardware, software, and applications with a blend of practical and philosophical coverage and mathematical treatments, including advanced theorems and proofs. INTRODUCTION TO THE THEORY OF COMPUTATION, 3E's comprehensive coverage makes this a valuable reference for your continued studies in theoretical computing.

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Impossibility Results for Distributed Computing (Synthesis Lectures on Distributed Computing Theory) Hagit Attiya & Faith Ellen Morgan & Claypool Publishers, 2013

To understand the power of distributed systems, it is necessary to understand their inherent limitations: what problems cannot be solved in particular systems, or without sufficient resources (such as time or space). This book presents key techniques for proving such impossibility results and applies them to a variety of different problems in a variety of different system models. Insights gained from these results are highlighted, aspects of a problem that make it difficult are isolated, features of an architecture that make it inadequate for solving certain problems efficiently are identified, and different system models are compared. Table of Contents: Acknowledgments / Introduction / Indistinguishability / Shifting and Scaling / Scenario Arguments / Information Theory Arguments / Covering Arguments / Valency Arguments / Combinatorial Arguments / Reductions and Simulations / Bibliography / Authors' BiographiesISBN : 9781627051705

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Explaining the Computational Mind (The MIT Press) Marcin Milkowski MIT Press Ltd; The MIT Press, MIT Press, Cambridge, Massachusetts, 2013

A defense of the computational explanation of cognition that relies on mechanistic philosophy of science and advocates for explanatory pluralism.In this book, Marcin Milkowski argues that the mind can be explained computationally because it is itself computational—whether it engages in mental arithmetic, parses natural language, or processes the auditory signals that allow us to experience music. Defending the computational explanation against objections to it—from John Searle and Hilary Putnam in particular—Milkowski writes that computationalism is here to stay but is not what many have taken it to be. It does not, for example, rely on a Cartesian gulf between software and hardware, or mind and brain. Milkowski's mechanistic construal of computation allows him to show that no purely computational explanation of a physical process will ever be complete. Computationalism is only plausible, he argues, if you also accept explanatory pluralism.Milkowski sketches a mechanistic theory of implementation of computation against a background of extant conceptions, describing four dissimilar computational models of cognition. He reviews other philosophical accounts of implementation and computational explanation and defends a notion of representation that is compatible with his mechanistic account and adequate vis à vis the four models discussed earlier. Instead of arguing that there is no computation without representation, he inverts the slogan and shows that there is no representation without computation—but explains that representation goes beyond purely computational considerations. Milkowski's arguments succeed in vindicating computational explanation in a novel way by relying on mechanistic theory of science and interventionist theory of causation.

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Computability : Turing, Gödel, Church, and Beyond B. Jack Copeland & Carl J. Posy & Oron Shagrir The MIT Press, MIT Press, Cambridge, Massachusetts, 2013

Computer scientists, mathematicians, and philosophers discuss the conceptual foundations of the notion of computability as well as recent theoretical developments. In the 1930s a series of seminal works published by Alan Turing, Kurt Gödel, Alonzo Church, and others established the theoretical basis for computability. This work, advancing precise characterizations of effective, algorithmic computability, was the culmination of intensive investigations into the foundations of mathematics. In the decades since, the theory of computability has moved to the center of discussions in philosophy, computer science, and cognitive science. In this volume, distinguished computer scientists, mathematicians, logicians, and philosophers consider the conceptual foundations of computability in light of our modern understanding.Some chapters focus on the pioneering work by Turing, Gödel, and Church, including the Church-Turing thesis and Gödel's response to Church's and Turing's proposals. Other chapters cover more recent technical developments, including computability over the reals, Gödel's influence on mathematical logic and on recursion theory and the impact of work by Turing and Emil Post on our theoretical understanding of online and interactive computing; and others relate computability and complexity to issues in the philosophy of mind, the philosophy of science, and the philosophy of mathematics.ContributorsScott Aaronson, Dorit Aharonov, B. Jack Copeland, Martin Davis, Solomon Feferman, Saul Kripke, Carl J. Posy, Hilary Putnam, Oron Shagrir, Stewart Shapiro, Wilfried Sieg, Robert I. Soare, Umesh V. VaziraniISBN : 9780262018999

English [en] · PDF · 5.0MB · 2013 · 📘 Book (non-fiction) · 🚀/zlib · Save

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Introduction to the Theory of Computation, 3rd ed. Michael Sipser Course Technology Cengage Learning, 3, 2012

Now you can clearly present even the most complex computational theory topics to your students with Sipser’s distinct, market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E. The number one choice for today’s computational theory course, this highly anticipated revision retains the unmatched clarity and thorough coverage that make it a leading text for upper-level undergraduate and introductory graduate students. This edition continues author Michael Sipser’s well-known, approachable style with timely revisions, additional exercises, and more memorable examples in key areas. A new first-of-its-kind theoretical treatment of deterministic context-free languages is ideal for a better understanding of parsing and LR(k) grammars. This edition’s refined presentation ensures a trusted accuracy and clarity that make the challenging study of computational theory accessible and intuitive to students while maintaining the subject’s rigor and formalism. Readers gain a solid understanding of the fundamental mathematical properties of computer hardware, software, and applications with a blend of practical and philosophical coverage and mathematical treatments, including advanced theorems and proofs. INTRODUCTION TO THE THEORY OF COMPUTATION, 3E’s comprehensive coverage makes this an ideal ongoing reference tool for those studying theoretical computing. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

English [en] · PDF · 10.7MB · 2012 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/upload/zlib · Save

nexusstc/Foundations of Complex Systems: Nonlinear Dynamics, Statistical Physics, Information and Prediction: Nonlinear Dynamics, Statistical Physics, and Prediction/78e862ec9a79923ce2f5c27120b2c458.pdf

Foundations of Complex Systems: Nonlinear Dynamics, Statistical Physics, Information and Prediction: Nonlinear Dynamics, Statistical Physics, and Prediction Gregoire Nicolis; Catherine Nicolis World Scientific Publishing Company; World Scientific Publishing Co Pte Ltd, illustrated edition, 2010

Complexity is emerging as a post-Newtonian paradigm for approaching a large body of phenomena of concern at the crossroads of physical, engineering, environmental, life and human sciences from a unifying point of view. This book outlines the foundations of modern complexity research as it arose from the cross-fertilization of ideas and tools from nonlinear science, statistical physics and numerical simulation. It is shown how these developments lead to an understanding, both qualitative and quantitative, of the complex systems encountered in nature and in everyday experience and, conversely, how natural complexity acts as a source of inspiration for progress at the fundamental level.

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nexusstc/Learning Functional Programming: Managing Code Complexity by Thinking Functionally/e58adc30e816499aa747cb5d000df366.epub

Learning functional programming : managing code complexity by thinking functionally Jack Widman O'Reilly Media, Incorporated, USA, August 11th 2022

Learn how to think and write code like a functional programmer. With this practical guide, software developers familiar with object-oriented programming will dive into the core concepts of functional programming and learn how to use both functional and OOP features together on large or complex software projects. Author Jack Widman uses samples from Java, Python, C#, Scala, and JavaScript to help you gain a new perspective and a set of tools for managing the complexity in your problem domain. You'll be able to write code that's simpler, reusable, easier to test and modify, and more consistently correct. This book also shows you how to use patterns from category theory to help bridge the gap between OOP and functional programming. - Learn functional programming fundamentals and explore the way functional programmers approach problems - Understand how FP differs from object-oriented and imperative programming - Use a set of practical, applicable design patterns that model reality in a functional way - Learn how to incorporate FP and OOP features into software projects - Apply functional design patterns appropriately and use them to write correct, robust, and easily modifiable code

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upload/newsarch_ebooks/2021/01/27/3030593010.pdf

Complex Systems, Smart Territories and Mobility [electronic resource Patricia Sajous,Cyrille Bertelle (eds.) Springer International Publishing : Imprint: Springer, Understanding complex systems, 1st ed. 2021, Cham, 2021

This book reflects the outcome of contribution by the plural community and of the interactions between disciplines. With the mass of data available through Information and Communication Technologies (ICT) in an unprecedented quantity since the Human History, it is now possible to access dimensions of knowledge that, though not hidden, could not be grasped in the same way in the past. The question of how this information can be used for the benefit of institutional and economic actors to foster the development of a territory. Tackling the issue from a resolutely interdisciplinary perspective, the authors explore the theories and methods of complex systems in order to discuss how they can contribute in these new circumstances to territorial intelligence and to the development practices in which it is embodied. This book illustrates how today's research explores the multiple facets of territorial systems in order to reproduce their richness. It invites readers to learn about the challenges, ideas, results and advances present in this domain.

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nexusstc/Algorithms and Complexity: 13th International Conference, CIAC 2023, Larnaca, Cyprus, June 13–16, 2023, Proceedings/8030e02875343ea4bdc8f22a8addd9e7.epub

Algorithms and Complexity : 13th International Conference, CIAC 2023, Larnaca, Cyprus, June 13–16, 2023, Proceedings Marios Mavronicolas Springer Nature Switzerland AG, Lecture Notes in Computer Science, Lecture Notes in Computer Science, 13898, 2023

This book constitutes the refereed proceedings of the 13th International Conference on Algorithms and Complexity, CIAC 2023, which took place in Larnaca, Cyprus, during June 13–16, 2023. The 25 full papers included in this book were carefully reviewed and selected from 49 submissions. They cover all important areas of research on algorithms and complexity such as algorithm design and analysis; sequential, parallel and distributed algorithms; data structures; computational and structural complexity; lower bounds and limitations of algorithms; randomized and approximation algorithms; parameterized algorithms and parameterized complexity classes; smoothed analysis of algorithms; alternatives to the worst-case analysis of algorithms (e.g., algorithms with predictions), on-line computation and competitive analysis, streaming algorithms, quantum algorithms and complexity, algorithms in algebra, geometry, number theory and combinatorics, computational geometry, algorithmic game theory and mechanism design, algorithmic economics (including auctions and contests), computational learning theory, computational biology and bioinformatics, algorithmic issues in communication networks, algorithms for discrete optimization (including convex optimization) and algorithm engineering.

English [en] · EPUB · 39.8MB · 2023 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

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lgli/Michael Luby - Pseudorandomness and Cryptographic Applications (1996, ).pdf

Pseudorandomness and Cryptographic Applications (Princeton Computer Science Notes) Michael George Luby Princeton University Press, Princeton computer science notes, Princeton, NJ, New Jersey, 1996

A Pseudorandom Generator Is An Easy-to-compute Function That Stretches A Short Random String Into A Much Longer String That Looks Just Like A Random String To Any Efficient Adversary. One Immediate Application Of A Pseudorandom Generator Is The Construction Of A Private Key Cryptosystem That Is Secure Against Chosen Plaintext Attack.--book Jacket. There Do Not Seem To Be Natural Examples Of Functions That Are Pseudorandom Generators. On The Other Hand, There Do Seem To Be A Variety Of Natural Examples Of Another Basic Primitive: The One-way Function. A Function Is One-way If It Is Easy To Compute But Hard For Any Efficient Adversary To Invert On Average.--book Jacket. The First Half Of The Book Shows How To Construct A Pseudorandom Generator From Any One-way Function. Building On This, The Second Half Of The Book Shows How To Construct Other Useful Cryptographic Primitives, Such As Private Key Cryptosystems, Pseudorandom Function Generators, Pseudorandom Permutation Generators, Digital Signature Schemes, Bit Commitment Protocols, And Zero-knowledge Interactive Proof Systems. The Book Stresses Rigorous Definitions And Proofs.--book Jacket. Michael Luby. Includes Bibliographical References (p. [211]-219) And Index.

English [en] · PDF · 1.1MB · 1996 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save