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* The electronic component of the book is based on the widely used and highly praised Mathematica software package.* Each chapter of the;
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compare independent results obtained by using different computer algebra systems, Maple and/or Mathematica, at all stages of the solution process;
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involving ordinary and partial differential equations and boundary value problems using the software package Mathematica (4.x). Avoiding;
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involving ordinary and partial differential equations and boundary value problems using the software package Mathematica (4.x). Avoiding;
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of Integration - Concepts and Definitions - Exact Analytical Methods - Approximate Analytical Methods - Numerical Methods: Concepts - Numerical Methods;
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of Integration - Concepts and Definitions - Exact Analytical Methods - Approximate Analytical Methods - Numerical Methods: Concepts - Numerical Methods;
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Feagin's book was the first publication dealing with Quantum Mechanics using Mathematica, the popular software distributed by Wolfram;
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Differential equations play a vital role in the fields of engineering and science. Problems in engineering and science can be modeled using;
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problems for numerical and approximate analytical methods for solving linear PDEs and systems of coupled PDEs New to the Second Edition;
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resource for mathematical methods in physics using Maple[trademark] and Mathematica[trademark]. Through in-depth problems from core courses in the;
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Introduction to Numerical and Analytical Methods with MATLAB (R) for Engineers and Scientists provides the basic concepts of programming;
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for Engineers, Second Edition provides an introduction to numerical methods, incorporating theory with concrete computing exercises and;
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for Engineers, Second Edition provides an introduction to numerical methods, incorporating theory with concrete computing exercises and;
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Designed to benefit scientific and engineering applications, Numerical Methods for Engineers and Scientists Using MATLAB (R) focuses on the;
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, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the;
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visualizing analytical and numerical solutions. It subsequently uses these implementations as building blocks to solve more complex problems, such as;
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This book provides a concise introduction to numerical concepts in engineering analysis, using FORTRAN, QuickBASIC, MATLAB, and Mathematica;
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For courses in Numerical Methods at junior/senior level as well as beginning graduate level. The book also serves as a reference for;
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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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cover both analytical and numerical approaches. Topics on analytical solutions include similarity transform methods, direct formulas for series;
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tools can be used to do scientific computations. A valuable text for computer science courses for scientists and engineers, this book should;
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need to understand linear algebra while using Mathematica. Development of analytical and computational skills is emphasized, and worked;
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providing equations and their solutions to all major elastohydrodynamic lubrication (EHL) problems, plus numerical programs on specific applications;
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Numerical Methods for Engineers and Scientists, 3rd Edition provides engineers with a more concise treatment of the essential topics;
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these numerical methods for the complex magnet structure design instead of using traditional trial-and-error methods. Those working in this;
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comprehensive treatment of the subject to date. In concise and easy-to-read style, the author lays out both the mathematical basis for analytical and;
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