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Numerical Methods Fundamentals
Paperback
June 2023
9781683928713
More details
- Publisher
Mercury Learning and Information - Published
1st June 2023 - ISBN 9781683928713
- Language English
- Pages 450 pp.
- Size 7" x 9"
$79.99
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May 2023
9781683928690
More details
- Publisher
Mercury Learning and Information - Published
30th May 2023 - ISBN 9781683928690
- Language English
- Pages 450 pp.
- Size 7" x 9"
$79.99
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May 2023
9781683928706
More details
- Publisher
Mercury Learning and Information - Published
30th May 2023 - ISBN 9781683928706
- Language English
- Pages 450 pp.
- Size 7" x 9"
$159.00
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. 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:
- Emphasizes applications, analytical developments, algorithms, and computational solutions over pure theory
- Features over 300 problems with step-by-step solutions
- Includes a review of basic engineering mathematics and partial fraction expansions
- Provides an understanding, both physical and mathematical, of the basic theory of numerical analysis, methods, and their applications
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
Bibliography
Appendices:
A. Partial Fraction Expansions
B. Basic Engineering Mathematics
C. Cramer’s Rule
Answers to Selected Exercises
Index
R. V. Dukkipati, PhD
R. V. Dukkipati is a Professor and Chair of Mechanical 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).
Mathematics; Computer Science; Engineering; applied numerical methods