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MERCURY LEARNING and INFORMATION provides print and digital content in the areas of science and medicine, technology and computing, engineering, and mathematics (STEM disciplines) designed for the professional/reference, trade, library, higher education, career school, and online training markets. We embrace both traditional and innovative publishing models designed to accommodate the needs of the intended audience by using the appropriate delivery methods.
Applied Numerical Methods Using MATLAB
ISBN: 9781683928683
Pub Date: December 2022
Specs: 7 x 9 Paperback
Pages: ~400
Price: $69.95
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
TABLE OF CONTENTS
1: Numerical Computations. 2: Linear System of Equations. 3: Solution of Algebraic and Transcendental Equations. 4: Numerical Differentiation. 5: Finite Differences and Interpolation. 6: Curve Fitting, Regression, and Correlation. 7: Numerical Integration. 8: Numerical Solution of Ordinary Differential Equations. 9: Direct Numerical Integration Methods. 10: MATLAB Basics. 11: Optimization. 12: Partial Differential Equations. Appendices: A. Answers to Selected Problems. B. Bibliography. C. Partial Fraction Expansions. D. Basic Engineering Mathematics. E. Cramer's Rule. F. MATLAB Built-In Functions. G. MATLAB M-File Functions . Index.
ABOUT THE AUTHOR
R. V. Dukkipati is a Professor and Chair of Mechanica1 Engineering at Fairfield University, as well as a consultant in the field of road vehicle accident reconstruction. He is a member of the Connecticut Academy of Sciences and Engineering (CASE), and a Fellow of both the American Society of Mechanical Engineers (ASME) and the Canadian Society for Mechanical Engineers (CSME).