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than a systematic introduction to the language. It is written for a mathematical readership and is aimed at students with a mathematical;
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professionals who need an introduction to the mathematics that underpins computer science theory.;
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the fields intellectual origins in mathematical logic to modern views of the role of theory in computing. The book then explores the debates;
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This introduction to the mathematical foundations and theory of distributed computing is theoretical in nature, describing algorithms and;
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This book is a short, concise introduction to key mathematical ideas for computing students which develops their understanding of discrete;
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This concise, accessible text provides a thorough introduction to quantum computing - an exciting emergent field at the interface of the;
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This 1st Edition Essentials text offers an Excel focused approach to using statistics in business. All statistical concepts are illustrated;
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Thirty years ago mathematical, as opposed to applied numerical, computation was difficult to perform and so relatively little used. Three;
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Thirty years ago mathematical, as opposed to applied numerical, computation was difficult to perform and so relatively little used. Three;
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introduction to quantum computing that is as self-contained as possible*No knowledge of quantum mechanics is assumed *Written by an electrical;
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? Scientific Computing for Scientists and Engineers covers: An introduction to a wide range of numerical methods for linear systems, eigenvalue;
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Guide to Scientific Computing provides an introduction to the many problems of scientific computing, as well as the wide variety of methods;
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for exploring statistical models. This book gives a comprehensive introduction to the exciting area of sampling-based methods. An Introduction;
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papers presented at the conference Modern Mathematical Methods and High Performance Computing in Science & Technology (M3HPCST), held at;
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to modeling, mathematical analysis, and computation that provides the key ideas and skills needed to enter the wider world of modern applied;
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. Introductory material includes computational basics, a review of coordinate systems, an introduction to facets (planes and triangle meshes) and an;
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. Introductory material includes computational basics, a review of coordinate systems, an introduction to facets (planes and triangle meshes) and an;
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Aimed primarily at undergraduate level university students, An Illustrative Introduction to Modern Analysis provides an accessible and;
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Aimed primarily at undergraduate level university students, An Illustrative Introduction to Modern Analysis provides an accessible and;
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Comprehensive introduction to the fundamental results in the mathematical foundations of distributed computing Accompanied by supporting;
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A modern approach to mathematical modeling, featuring unique applications from the field of mechanics An Introduction to Mathematical;
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Introduction to Languages and the Theory of Computation helps students make the connection between the practice of computing and an;
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With a broad scope, this guide offers an authoriative introduction to the complex, interdisciplinary origins of computing. The book gives;
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an interest in the application of statistical methods but do not necessarily intend to become statisticians, this book has been developed;
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statistics. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern Bayesian;
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, scientific and engineering laboratories and design shops, an introduction to numerical method is an essential part of the training of scientists and;
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as an introduction to both the theory and practice of scientific computing, with each chapter presenting the basic algorithms that serve as;
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