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Applied Numerical Methods Using MATLAB

R. V. Dukkipati ... 1728 pages - Language: English - Publisher: ‎Mercury Learning and Information; (April, 2023).

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.

Applied Numerical Methods Using MATLAB, R. V. Dukkipati

... Coming.SOON: Machine Learning Algorithms and Applications in Engineering by Prasenjit Chatterjee, Morteza Yazdani, Francisco Fernández-​Navarro, Javier Pérez-​Rodríguez (CRC Press, 2023).

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