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  • Computer Algebra in Scientific Computing

    28th International Workshop, CASC 2026, Bath, UK, August 31 – September 4, 2026, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 28th International Workshop on Computer Algebra in Scientific Computing, CASC 2026, held in Bath, UK, during August 31–September 4, 2026.The 21 full papers included in this book were carefully reviewed and selected from 28submissions. The CASC workshop series has been running for over two decades to explore the interaction of Computer Algebra ... Leer más

    $71.99 USD

  • Computer Algebra in Scientific Computing

    27th International Workshop, CASC 2025, Dubai, United Arab Emirates, November 24–28, 2025, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 27th International Workshop on Computer Algebra in Scientific Computing, CASC 2025, which took place in Dubai, United Arab Emirates, during November 24–28, 2025.The 22 full papers and included in this book were carefully reviewed and selected from 36 submissions. They focus on all aspects of computer algebra, symbolic computation, scientific ... Leer más

    $71.99 USD

  • Computer Algebra in Scientific Computing

    26th International Workshop, CASC 2024, Rennes, France, September 2–6, 2024, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 26th International Workshop on Computer Algebra in Scientific Computing, CASC 2024, which took place in Rennes, France, during September 2 - September 6, 2024.The 19 full papers included in this book were carefully reviewed and selected from 23 submissions. The annual International Workshop CASC 2024 aims to bring together researchers in ... Leer más

    $143.99 USD

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    A Modern Approach

    This beginning graduate textbook describes both recent achievements and classical results of computational complexity theory. Requiring essentially no background apart from mathematical maturity, the book can be used as a reference for self-study for anyone interested in complexity, including physicists, mathematicians, and other scientists, as well as a textbook for a variety of courses and ... Leer más

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  • Algebraic Geometry Modeling In Information Theory

    Series Libro 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 ... Leer más

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  • Kernel-based Approximation Methods Using Matlab

    Series Libro 19 - Interdisciplinary Mathematical Sciences
    In an attempt to introduce application scientists and graduate students to the exciting topic of positive definite kernels and radial basis functions, this book presents modern theoretical results on kernel-based approximation methods and demonstrates their implementation in various settings. The authors explore the historical context of this fascinating topic and explain recent advances as ... Leer más

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  • Explorations In Numerical Analysis: Python Edition

    This textbook is intended to introduce advanced undergraduate and early-career graduate students to the field of numerical analysis. This field pertains to the design, analysis, and implementation of algorithms for the approximate solution of mathematical problems that arise in applications spanning science and engineering, and are not practical to solve using analytical techniques such as those ... Leer más

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  • Linear and Nonlinear Programming

    Series series Business and Management (R0)
    The 5th edition of this classic textbook covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve that problem. End-of-chapter exercises are provided for all chapters.The ... Leer más

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  • Computation, Cryptography, and Network Security

    Series series Mathematics and Statistics (R0)
    Analysis, assessment, and data management are core competencies for operation research analysts. This volume addresses a number of issues and developed methods for improving those skills. It is an outgrowth of a conference held in April 2013 at the Hellenic Military Academy, and brings together a broad variety of mathematical methods and theories with several applications. It discusses directions ... Leer más

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  • Computability and Complexity Theory

    Series series Computer Science (R0)
    This revised and extensively expanded edition of Computability and Complexity Theory comprises essential materials that are core knowledge in the theory of computation. The book is self-contained, with a preliminary chapter describing key mathematical concepts and notations. Subsequent chapters move from the qualitative aspects of classical computability theory to the quantitative aspects of ... Leer más

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  • An Introduction to Optimization

    Series Libro 72 - Wiley Series in Discrete Mathematics and Optimization
    Praise from the Second Edition"...an excellent introduction to optimization theory..." (Journal of Mathematical Psychology, 2002)"A textbook for a one-semester course on optimization theory and methods at the senior undergraduate or beginning graduate level." (SciTech Book News, Vol. 26, No. 2, June 2002)Explore the latest applications of optimization theory and methodsOptimization is central to ... Leer más

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  • Algorithms for Convex Optimization

    In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self ... Leer más

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