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With emphasis on modern techniques, Numerical Methods for Differential Equations: A Computational Approach covers the development and;
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of motion, illustrated with numerical examples. This book suits a graduate course in mechanics based disciplines, and will help software developers;
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of motion, illustrated with numerical examples. This book suits a graduate course in mechanics based disciplines, and will help software developers;
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introductory optimization courses into a single text. This classroom-tested approach enriches a standard numerical methods syllabus with optional;
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Following a unique approach, this innovative book integrates the learning of numerical methods with practicing computer programming and;
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initial publication in 1984. The introductory-level approach outlines numerical techniques for differential equations that either illustrate;
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Numerical and statistical methods with the free software SCILAB (http://www-rocq.inria.fr/scilab/);
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numerical information about a project;
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involving applied numerical and computational analysis. Focused on building a sound theoretical foundation, it uses a clear and simple approach;
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to perform symbolic, graphical, and numerical tasks. The text covers a variety of methods from curve fitting to solving ordinary and partial;
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This is an introductory single-term numerical analysis text with a modern scientific computing flavor. It offers an immediate immersion;
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Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on;
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numerical results for a variety of engineering problems. This edition now uses MATLAB in its discussions of computer solution. New to the Second;
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bookis a Mathematica notebook with links to web-based material.* The methods are applied to a range of problems taken from physics and;
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of controller software. Garoche provides a unified approach that is geared to graduate students in both fields, covering formal verification methods as;
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used in all these scientific fields to translate mathematical models into numerical tools. Volume 4 is composed of a series of case studies;
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Mathematics and statistics with the free software SCILAB (http://www-rocq.inria.fr/scilab/);...
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find this resource invaluable. Moreover, since little previous training in numerical analysis is required, the book can also be used as a;
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find this resource invaluable. Moreover, since little previous training in numerical analysis is required, the book can also be used as a;
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Numerical methods naturally lend themselves to an object-oriented approach. Mathematics builds high- level ideas on top of previously;
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numerical methods and shows in a step-by-step fashion how to use them, focusing on interpolation and regression models. The methods and examples are;
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High-order numerical methods provide an efficient approach to simulating many physical problems. This book considers the range;
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This book presents numerical methods for solving a wide range of problems associated with the structure of atoms and simplest molecules;
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used in all these scientific fields to translate mathematical models into numerical tools. Volume 4 is composed of a series of case studies;
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that are missing from most textbooks. Using an inquiry-based learning approach, Numerical Analysis is written in a narrative style, provides;
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