Applied Numerical Methods Using MATLAB

[Farid-Khan]

Applied Numerical Methods Using MATLAB® | 528 | R. V. Dukkipati | 2023 | Mercury Learning and Information LLC | 0471698334​

In recent years, with the introduction of new media products, there has been a shift in the use of programming languages from FORTRAN or C to MATLAB for implementing numerical methods. 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. Based on their course experience, the authors use a more practical approach and link every method to real engineering and/or science problems. 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.

The book is designed to cover all major aspects of applied numerical methods, including numerical computations, solution of algebraic and transcendental 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. MATLAB is incorporated throughout the text and most of the problems are executed in MATLAB code. It uses a numerical problem-solving orientation with numerous examples, figures, and end of chapter exercises. Presentations are limited to very basic topics to serve as an introduction to more advanced topics.

FEATURES

Integrates MATLAB throughout the text
Includes over 600 fully-solved problems with step-by-step solutions
Limits presentations to basic concepts of solving numerical methods



Contents of Download:
Applied Numerical Methods Using MATLAB R. V. Dukkipati PhD.epub (34.92 MB)


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