Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Super Recursive Algorithms
Download Super Recursive Algorithms full books in PDF, epub, and Kindle. Read online Super Recursive Algorithms ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Super-Recursive Algorithms by : Mark Burgin
Download or read book Super-Recursive Algorithms written by Mark Burgin and published by Springer. This book was released on 2010-12-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: * The first exposition on super-recursive algorithms, systematizing all main classes and providing an accessible, focused examination of the theory and its ramifications * Demonstrates how these algorithms are more appropriate as mathematical models for modern computers and how they present a better framework for computing methods * Develops a new practically-oriented perspective on the theory of algorithms, computation, and automata, as a whole
Book Synopsis Super-Recursive Algorithms by : Mark Burgin
Download or read book Super-Recursive Algorithms written by Mark Burgin and published by Springer Science & Business Media. This book was released on 2006-12-21 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: * The first exposition on super-recursive algorithms, systematizing all main classes and providing an accessible, focused examination of the theory and its ramifications * Demonstrates how these algorithms are more appropriate as mathematical models for modern computers and how they present a better framework for computing methods * Develops a new practically-oriented perspective on the theory of algorithms, computation, and automata, as a whole
Book Synopsis Super-recursive Algorithms and Hypercomputation by : Mark S. Burgin
Download or read book Super-recursive Algorithms and Hypercomputation written by Mark S. Burgin and published by . This book was released on 2004 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Recursive Algorithms by : Richard Lorentz
Download or read book Recursive Algorithms written by Richard Lorentz and published by Intellect (UK). This book was released on 1994 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recursion is a topic that is ubiquitous in computer science. This book provides a leisurely and entertaining journey through recursion. It begins with the most basic of recursive algorithms and carefully guides the reader to more advanced applications.
Author :Gordana Dodig-Crnkovic Publisher :Springer Science & Business Media ISBN 13 :3642372252 Total Pages :268 pages Book Rating :4.6/5 (423 download)
Book Synopsis Computing Nature by : Gordana Dodig-Crnkovic
Download or read book Computing Nature written by Gordana Dodig-Crnkovic and published by Springer Science & Business Media. This book was released on 2013-03-21 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about nature considered as the totality of physical existence, the universe, and our present day attempts to understand it. If we see the universe as a network of networks of computational processes at many different levels of organization, what can we learn about physics, biology, cognition, social systems, and ecology expressed through interacting networks of elementary particles, atoms, molecules, cells, (and especially neurons when it comes to understanding of cognition and intelligence), organs, organisms and their ecologies? Regarding our computational models of natural phenomena Feynman famously wondered: “Why should it take an infinite amount of logic to figure out what one tiny piece of space/time is going to do?” Phenomena themselves occur so quickly and automatically in nature. Can we learn how to harness nature’s computational power as we harness its energy and materials? This volume includes a selection of contributions from the Symposium on Natural Computing/Unconventional Computing and Its Philosophical Significance, organized during the AISB/IACAP World Congress 2012, held in Birmingham, UK, on July 2-6, on the occasion of the centenary of Alan Turing’s birth. In this book, leading researchers investigated questions of computing nature by exploring various facets of computation as we find it in nature: relationships between different levels of computation, cognition with learning and intelligence, mathematical background, relationships to classical Turing computation and Turing’s ideas about computing nature - unorganized machines and morphogenesis. It addresses questions of information, representation and computation, interaction as communication, concurrency and agent models; in short this book presents natural computing and unconventional computing as extension of the idea of computation as symbol manipulation.
Book Synopsis Theory of Information by : Mark Burgin
Download or read book Theory of Information written by Mark Burgin and published by World Scientific. This book was released on 2010 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a fresh approach to scientific understanding of information phenomena. Based on an analysis of information processes in nature, technology, and society, as well as on the main directions in information theory, this book offers a theory that synthesizes various directions into a unified system.
Book Synopsis Information and Computation by : Mark Semenovich Burgin
Download or read book Information and Computation written by Mark Semenovich Burgin and published by World Scientific. This book was released on 2011 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a cutting-edge view of the world's leading authorities in fields where information and computation play a central role.
Book Synopsis Advances in Unconventional Computing by : Andrew Adamatzky
Download or read book Advances in Unconventional Computing written by Andrew Adamatzky and published by Springer. This book was released on 2016-07-18 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: The unconventional computing is a niche for interdisciplinary science, cross-bred of computer science, physics, mathematics, chemistry, electronic engineering, biology, material science and nanotechnology. The aims of this book are to uncover and exploit principles and mechanisms of information processing in and functional properties of physical, chemical and living systems to develop efficient algorithms, design optimal architectures and manufacture working prototypes of future and emergent computing devices. This first volume presents theoretical foundations of the future and emergent computing paradigms and architectures. The topics covered are computability, (non-)universality and complexity of computation; physics of computation, analog and quantum computing; reversible and asynchronous devices; cellular automata and other mathematical machines; P-systems and cellular computing; infinity and spatial computation; chemical and reservoir computing. The book is the encyclopedia, the first ever complete authoritative account, of the theoretical and experimental findings in the unconventional computing written by the world leaders in the field. All chapters are self-contains, no specialist background is required to appreciate ideas, findings, constructs and designs presented. This treatise in unconventional computing appeals to readers from all walks of life, from high-school pupils to university professors, from mathematicians, computers scientists and engineers to chemists and biologists.
Book Synopsis Structurally Recursive Algorithms by : Gregory Fogg Whitten
Download or read book Structurally Recursive Algorithms written by Gregory Fogg Whitten and published by . This book was released on 1978 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Recursive Programming by : Manuel Rubio-Sanchez
Download or read book Introduction to Recursive Programming written by Manuel Rubio-Sanchez and published by CRC Press. This book was released on 2017-10-05 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recursion is one of the most fundamental concepts in computer science and a key programming technique that allows computations to be carried out repeatedly. Despite the importance of recursion for algorithm design, most programming books do not cover the topic in detail, despite the fact that numerous computer programming professors and researchers in the field of computer science education agree that recursion is difficult for novice students. Introduction to Recursive Programming provides a detailed and comprehensive introduction to recursion. This text will serve as a useful guide for anyone who wants to learn how to think and program recursively, by analyzing a wide variety of computational problems of diverse difficulty. It contains specific chapters on the most common types of recursion (linear, tail, and multiple), as well as on algorithm design paradigms in which recursion is prevalent (divide and conquer, and backtracking). Therefore, it can be used in introductory programming courses, and in more advanced classes on algorithm design. The book also covers lower-level topics related to iteration and program execution, and includes a rich chapter on the theoretical analysis of the computational cost of recursive programs, offering readers the possibility to learn some basic mathematics along the way. It also incorporates several elements aimed at helping students master the material. First, it contains a larger collection of simple problems in order to provide a solid foundation of the core concepts, before diving into more complex material. In addition, one of the book's main assets is the use of a step-by-step methodology, together with specially designed diagrams, for guiding and illustrating the process of developing recursive algorithms. Furthermore, the book covers combinatorial problems and mutual recursion. These topics can broaden students' understanding of recursion by forcing them to apply the learned concepts differently, or in a more sophisticated manner. The code examples have been written in Python 3, but should be straightforward to understand for students with experience in other programming languages. Finally, worked out solutions to over 120 end-of-chapter exercises are available for instructors.
Book Synopsis Machines, Computations, and Universality by : Jérôme Durand-Lose
Download or read book Machines, Computations, and Universality written by Jérôme Durand-Lose and published by Springer Science & Business Media. This book was released on 2007-08-23 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Machines, Computations, and Universality, MCU 2007, held in Orleans, France, September 2007. The 18 revised full papers presented together with nine invited papers cover Turing machines, register machines, word processing, cellular automata, tiling of the plane, neural networks, molecular computations, BSS machines, infinite cellular automata, real machines, and quantum computing.
Book Synopsis Computational Mathematics, Modelling and Algorithms by : J. C. Misra
Download or read book Computational Mathematics, Modelling and Algorithms written by J. C. Misra and published by Alpha Science Int'l Ltd.. This book was released on 2003 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive volume introduces educational units dealing with important topics in Mathematics, Modelling and Algorithms. Key Features: Illustrative examples and exercises Comprehensive bibliography
Book Synopsis Algorithmic Probability by : Fouad Sabry
Download or read book Algorithmic Probability written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-28 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Algorithmic Probability In the field of algorithmic information theory, algorithmic probability is a mathematical method that assigns a prior probability to a given observation. This method is sometimes referred to as Solomonoff probability. In the 1960s, Ray Solomonoff was the one who came up with the idea. It has applications in the theory of inductive reasoning as well as the analysis of algorithms. Solomonoff combines Bayes' rule and the technique in order to derive probabilities of prediction for an algorithm's future outputs. He does this within the context of his broad theory of inductive inference. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Algorithmic Probability Chapter 2: Kolmogorov Complexity Chapter 3: Gregory Chaitin Chapter 4: Ray Solomonoff Chapter 5: Solomonoff's Theory of Inductive Inference Chapter 6: Algorithmic Information Theory Chapter 7: Algorithmically Random Sequence Chapter 8: Minimum Description Length Chapter 9: Computational Learning Theory Chapter 10: Inductive Probability (II) Answering the public top questions about algorithmic probability. (III) Real world examples for the usage of algorithmic probability in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of algorithmic probability' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of algorithmic probability.
Book Synopsis Chaos, Information, And The Future Of Physics: The Seaman-rossler Dialogue With Information Perspectives By Burgin And Seaman by : William Seaman
Download or read book Chaos, Information, And The Future Of Physics: The Seaman-rossler Dialogue With Information Perspectives By Burgin And Seaman written by William Seaman and published by World Scientific. This book was released on 2023-06-22 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main part of the book consists of the dialogue between physicist Otto Rössler, and artist and AI researcher Bill Seaman with the commentaries disclosing information perspective by information scientist Mark Burgin and Bill Seaman. In this dialogue, Rössler and Seaman discuss concepts surrounding Rössler's major research over his lifetime. Additionally, each research topic is linked to the set of papers and books published by Rössler and other related collaborative researchers. The goal is to delineate an intellectual directory for future researchers. The discussed topics being transdisciplinary in nature cross many fields in science and technology. A comprehensive historical bibliography is also included. The work explores many fields germane to theoretical science as Rössler was often quite early in developing these fields and interacting with many famous scientists. This work pertains to information theory, which has often been left out of the historical literature.Burgin as an expert in information theory is providing an information perspective on this dialogue adding historical discussion and relevant scientific and mathematical underpinnings of the discussed ideas. His observations are complemented by Seaman, who presents the synthesis of artistic and scientific outlook.Addendum contains articles describing Rössler's relationships to colleagues from multiple fields, a parable by Rössler and papers related to Rössler's research and theoretical models of processes in the universe.
Book Synopsis Stochastic Recursive Algorithms for Optimization by : S. Bhatnagar
Download or read book Stochastic Recursive Algorithms for Optimization written by S. Bhatnagar and published by Springer. This book was released on 2012-08-12 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient perturbation approaches form a thread unifying all the algorithms considered. Simultaneous perturbation stochastic approximation and smooth fractional estimators for gradient- and Hessian-based methods are presented. These algorithms: • are easily implemented; • do not require an explicit system model; and • work with real or simulated data. Chapters on their application in service systems, vehicular traffic control and communications networks illustrate this point. The book is self-contained with necessary mathematical results placed in an appendix. The text provides easy-to-use, off-the-shelf algorithms that are given detailed mathematical treatment so the material presented will be of significant interest to practitioners, academic researchers and graduate students alike. The breadth of applications makes the book appropriate for reader from similarly diverse backgrounds: workers in relevant areas of computer science, control engineering, management science, applied mathematics, industrial engineering and operations research will find the content of value.
Book Synopsis Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies by : Mo, Hongwei
Download or read book Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies written by Mo, Hongwei and published by IGI Global. This book was released on 2009-04-30 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book offers new ideas and recent developments in Natural Computing, especially on artificial immune systems"--Provided by publisher.
Book Synopsis The Recursive Book of Recursion by : Al Sweigart
Download or read book The Recursive Book of Recursion written by Al Sweigart and published by No Starch Press. This book was released on 2022-08-16 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible yet rigorous crash course on recursive programming using Python and JavaScript examples. Recursion has an intimidating reputation: it’s considered to be an advanced computer science topic frequently brought up in coding interviews. But there’s nothing magical about recursion. The Recursive Book of Recursion uses Python and JavaScript examples to teach the basics of recursion, exposing the ways that it’s often poorly taught and clarifying the fundamental principles of all recursive algorithms. You’ll learn when to use recursive functions (and, most importantly, when not to use them), how to implement the classic recursive algorithms often brought up in job interviews, and how recursive techniques can help solve countless problems involving tree traversal, combinatorics, and other tricky topics. This project-based guide contains complete, runnable programs to help you learn: How recursive functions make use of the call stack, a critical data structure almost never discussed in lessons on recursion How the head-tail and “leap of faith” techniques can simplify writing recursive functions How to use recursion to write custom search scripts for your filesystem, draw fractal art, create mazes, and more How optimization and memoization make recursive algorithms more efficient Al Sweigart has built a career explaining programming concepts in a fun, approachable manner. If you’ve shied away from learning recursion but want to add this technique to your programming toolkit, or if you’re racing to prepare for your next job interview, this book is for you.
