Applied Numerical Methods Using MATLAB
Publisher:Mercury Learning and Information
By: R. V. Dukkipati
Paid access
|Apr 2023
Table of contents
Frontmatter
Contents
Preface
Acknowledgments
Chapter 1: Numerical Computations
Chapter 2: Linear System of Equations
Chapter 3: Solution of Algebraic and Transcendental Equations
Chapter 4: Numerical Differentiation
Chapter 5: Finite Differences and Interpolation
Chapter 6: Curve Fitting, Regression, and Correlation
Chapter 7: Numerical Integration
Chapter 8: Numerical Solution of Ordinary Differential Equations
Chapter 9: Direct Numerical Integration Methods
Chapter 10: MATLAB Basics
Chapter 11: Optimization
Chapter 12: Partial Differential Equations
Appendix A: Partial Fraction Expansions
Appendix B: Basic Engineering Mathematics
Appendix C: Cramer’s Rule. Exercises
Appendix D: MATLAB Built-In M-File Functions
Appendix E: MATLAB Programs
Appendix F: Answers to Odd Numbered Exercises
Bibliography
Index
24 chapters available
PDF ISBN: 978-1-68392-867-6 | E-Pub ISBN: 978-1-68392-866-9 | Paperback ISBN: 978-1-68392-868-3 | DOI: 10.1515/9781683928676
Publisher: Mercury Learning and Information
Copyright owner: © 2023 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2023
Language: English
Pages: 950
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