Author: L. Fox
Publisher: Elsevier
ISBN: 1483159191
Category : Business & Economics
Languages : en
Pages : 227
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Book Description
Advances in Programming and Non-Numerical Computation is the third volume of the Proceedings of Summer Schools organized by the Oxford University Computing Laboratory and the Delegacy for Extra-Mural Studies. The 27 lectures summarized in this volume were from 1963 Summer School. The book is organized two parts, keeping the theories of programming separate from the uses of programs. In the first part, an introduction gives a succinct historical account of the development of programming since the invention of the digital computer, and the other four chapters discuss the theory and the developing practice of methods of communicating with the computer, particularly for non-numerical purposes. The second provides a summary of possible non-numerical work, and more detail on three particular applications, in theorem-proving, game-playing, and learning, and information retrieval. It is hoped that this book provides a suitable introduction for a final year student seeking interesting research possibilities not too closely connected with his undergraduate work. It should also give to the intelligent layman, who is prepared to do some non-trivial reading, ideas about just what a machine can do, how it does it, and some of the methods, and the problems, of making further advances.
Author: Justin Solomon
Publisher: CRC Press
ISBN: 1482251892
Category : Computers
Languages : en
Pages : 400
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Book Description
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic desig
Author: Nikos Mastorakis
Publisher: Springer Science & Business Media
ISBN: 0387764836
Category : Mathematics
Languages : en
Pages : 443
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Book Description
Recent Advances in Numerical Methods features contributions from distinguished researchers, focused on significant aspects of current numerical methods and computational mathematics. The increasing necessity to present new computational methods that can solve complex scientific and engineering problems requires the preparation of this volume with actual new results and innovative methods that provide numerical solutions in effective computing times. Each chapter will present new and advanced methods and modern variations on known techniques that can solve difficult scientific problems efficiently.
Author: Leslie Fox
Publisher: Pergamon
ISBN: 9780080113562
Category : BUSINESS & ECONOMICS
Languages : en
Pages : 218
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Book Description
Advances in Programming and Non-Numerical Computation is the third volume of the Proceedings of Summer Schools organized by the Oxford University Computing Laboratory and the Delegacy for Extra-Mural Studies. The 27 lectures summarized in this volume were from 1963 Summer School.
Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 398
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Book Description
Author: C. Pozrikidis
Publisher: Oxford University Press on Demand
ISBN: 9780195376111
Category : Technology & Engineering
Languages : en
Pages : 1251
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Book Description
Designed for the non-expert student, enthusiast, or researcher, this text provides an accessible introduction to numerical computation and its applications in science and engineering. It assumes no prior knowledge beyond undergraduate calculus and elementary computer programming. Fundamental and practical issues are discussed in a unified manner with a generous, but not excessive, dose of numerical analysis. Topics are introduced on a need to know basis to concisely illustrate the practical implementation of a variety of algorithms and demystify seemingly esoteric numerical methods. Algorithms that can be explained without too much elaboration and can be implemented within a few dozen lines of computer code are discussed in detail, and computer programs in Fortran, C++, and Matlab are provided. Algorithms whose underlying theories require long, elaborate explanations are discussed at the level of first principles, and references for further information are given. The book uses numerous schematic illustrations to demonstrate concepts and facilitate their understanding by providing readers with a helpful interplay between ideas and visual images. Real-world examples drawn from various branches of science and engineering are presented. Updated information on computer technology and numerical methods is included, many new and some original topics are introduced. Additional solved and unsolved problems are included.
Author: United States. National Bureau of Standards
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 468
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Book Description
Author: W. W. Youden
Publisher:
ISBN:
Category : Computer science
Languages : en
Pages : 476
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Book Description
Author: Michael T. Heath
Publisher: SIAM
ISBN: 1611975573
Category : Science
Languages : en
Pages : 587
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Book Description
This book differs from traditional numerical analysis texts in that it focuses on the motivation and ideas behind the algorithms presented rather than on detailed analyses of them. It presents a broad overview of methods and software for solving mathematical problems arising in computational modeling and data analysis, including proper problem formulation, selection of effective solution algorithms, and interpretation of results.? In the 20 years since its original publication, the modern, fundamental perspective of this book has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python software and the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability of about 100 interactive educational modules that dynamically illustrate the concepts and algorithms in the book. Scientific Computing: An Introductory Survey, Second Edition is intended as both a textbook and a reference for computationally oriented disciplines that need to solve mathematical problems.
Author: Aske Plaat
Publisher: Springer Nature
ISBN: 3030592383
Category : Computers
Languages : en
Pages : 330
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Book Description
In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why two-person games of tactics and strategy fascinate scientists, programmers, and game enthusiasts and unite them in a common goal: to create artificial intelligence (AI). After an introduction to the core concepts, environment, and communities of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation, and self-play. The author takes a hands-on approach throughout, with Python code examples and exercises that help the reader understand how AI learns to play. He also supports the main text with detailed pointers to online machine learning frameworks, technical details for AlphaGo, notes on how to play and program Go and chess, and a comprehensive bibliography. The content is class-tested and suitable for advanced undergraduate and graduate courses on artificial intelligence and games. It's also appropriate for self-study by professionals engaged with applications of machine learning and with games development. Finally it's valuable for any reader engaged with the philosophical implications of artificial and general intelligence, games represent a modern Turing test of the power and limitations of AI.
