Applied Numerical Methods Using MATLAB
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bahana-line.com: Applied Numerical Methods Using MATLAB (): Won Y. Yang, Wenwu Cao, Tae-Sang Chung, John Morris: Books. Applied Numerical Methods Using MATLAB. Won Y. Yang, Wenwu Cao, Tae- Sang Chung, John Morris. ISBN: May pages.
Numerical Differentiation and Integration. Systems of Ordinary Differential Equations.
It demands only basic knowledge in Matlab programming. The text covers all major aspects of applied numerical methods, including numerical computations, solution of algebraic and transdental equations, finite differences and interpolation, curve fitting, correlation and regression, numerical differentiation and integration, matrices and linear system of equations, numerical solution of ordinary differential equations, and numerical solution of partial differential equations. Minimum-Norm Solution 72 2. Some of the salient features of the book are: Thanks for telling us about the problem.
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Return to Book Page. This book makes use of the powerful MATLAB software to avoid complex derivations, and to teach the fundamental concepts using the software to solve practical problems.
Over the years, many textbooks have been written on the subject of numerical methods. The main benefit is that engineers don't have to know the mathematical theory in order to apply the numerical methods for solving their real-life problems. An Instructor's Manual presenting detailed solutions to all the problems in the book is available online. Published March 25th by Wiley-Interscience first published June 3rd To see what your friends thought of this book, please sign up.
Fausett, Applied Numerical Analysis Using MATLAB | Pearson
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Mar 13, Andrzej Marynowicz rated it it was amazing. It demands only basic knowledge in Matlab programming.
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The huge amount of examples, concerning many applications, also in not so frequently met topics, like the optimalization and PDE solving with finite differences methods. The examples are clearly explained and really working!