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  • Cellular Automata and Discrete Complex Systems

    26th IFIP WG 1.5 International Workshop, AUTOMATA 2020, Stockholm, Sweden, August 10–12, 2020, Proceedings

    Edited by Hector Zenil ...
    Series series Springer Nature Proceedings Computer Science
    This volume constitutes the refereed post-conference proceedings of the 26th IFIP WG 1.5 International Workshop on Cellular Automata and Discrete Complex Systems, AUTOMATA 2020, held in Stockholm, Sweden, in August 2020. The workshop was held virtually.The 11 full papers presented in this book were carefully reviewed and selected from a total of 21 submissions. The topics of the conference include ... Read more

    $49.49 USD

  • Methods and Applications of Algorithmic Complexity

    Beyond Statistical Lossless Compression

    Series Book 44 - Emergence, Complexity and Computation
    This book explores a different pragmatic approach to algorithmic complexity rooted or motivated by the theoretical foundations of algorithmic probability and explores the relaxation of necessary and sufficient conditions in the pursuit of numerical applicability, with some of these approaches entailing greater risks than others in exchange for greater relevance and applicability.Some established ... Read more

    $170.09 USD

  • How Nature Works

    Complexity in Interdisciplinary Research and Applications

    Series series Engineering (R0)
    This book is based on the outcome of the “2012 Interdisciplinary Symposium on Complex Systems” held at the island of Kos. The book consists of 12 selected papers of the symposium starting with a comprehensive overview and classification of complexity problems, continuing by chapters about complexity, its observation, modeling and its applications to solving various problems including real-life ... Read more

    $143.09 USD

  • Computable Universe, A: Understanding And Exploring Nature As Computation

    by Hector Zenil ...
    This volume, with a foreword by Sir Roger Penrose, discusses the foundations of computation in relation to nature.It focuses on two main questions:The contributors are world-renowned experts who have helped shape a cutting-edge computational understanding of the universe. They discuss computation in the world from a variety of perspectives, ranging from foundational concepts to pragmatic models to ... Read more

    $63.89 USD

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    The book presents some key mathematical tools for the performance analysis of communication networks and computer systems.Communication networks and computer systems have become extremely complex. The statistical resource sharing induced by the random behavior of users and the underlying protocols and algorithms may affect Quality of Service.This book introduces the main results of queuing theory ... Read more

    $142.00 USD

  • The Computer and the Brain

    Series series The Silliman Memorial Lectures Series
    In this classic work, one of the greatest mathematicians of the twentieth century explores the analogies between computing machines and the living human brain. John von Neumann, whose many contributions to science, mathematics, and engineering include the basic organizational framework at the heart of today's computers, concludes that the brain operates both digitally and analogically, but also ... Read more

    $11.59 USD

  • Computational Number Theory and Modern Cryptography

    by Song Y. Yan ...
    The only book to provide a unified view of the interplay between computational number theory and cryptographyComputational number theory and modern cryptography are two of the most important and fundamental research fields in information security. In this book, Song Y. Yang combines knowledge of these two critical fields, providing a unified view of the relationships between computational number ... Read more

    $94.00 USD

  • MATLAB for Neuroscientists

    An Introduction to Scientific Computing in MATLAB

    MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB is the first comprehensive teaching resource and textbook for the teaching of MATLAB in the Neurosciences and in Psychology. MATLAB is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. ... Read more

    $74.69 USD

  • Practical Linear Algebra for Data Science

    From Core Concepts to Applications Using Python

    by Mike X Cohen ...
    If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world ... Read more

    $48.99 USD

  • Machine Learning

    A Constraint-Based Approach

    by Marco Gori ...
    Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic ... Read more

    $71.09 USD

  • Algebraic Geometry Modeling In Information Theory

    Series Book 8 - Series On Coding Theory And Cryptology
    Algebraic & geometry methods have constituted a basic background and tool for people working on classic block coding theory and cryptography. Nowadays, new paradigms on coding theory and cryptography have arisen such as: Network coding, S-Boxes, APN Functions, Steganography and decoding by linear programming. Again understanding the underlying procedure and symmetry of these topics needs a whole ... Read more

    $41.39 USD

  • Regularized System Identification

    Learning Dynamic Models from Data

    Series series Engineering (R0)
    This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification. The ... Read more

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