Computational Methods in Engineering. Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 2023
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- Nuevo

Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 62,18
Descripción del artículo del vendedor
In English.
N° de ref. del artículo ria9783031082276_new
- Título
- Computational Methods in Engineering
- Autor
- Venkateshan, S. P.; Swaminathan, Prasanna
- Editorial
- Springer
- Año de publicación
- 2023
- Estado
- New
- Encuadernación
- Encuadernación de tapa blanda
- Idioma
- inglés
- ISBN 10
- 3031082273
- ISBN 13
- 9783031082276
- Peso del artículo
- 1442 gramos
The book is designed to serve as a textbook for courses offered to graduate and upper-undergraduate students enrolled in mechanical engineering. The book attempts to make students with mathematical backgrounds comfortable with numerical methods. The book also serves as a handy reference for practicing engineers who are interested in applications. The book is written in an easy-to-understand manner, with the essence of each numerical method clearly stated. This makes it easy for professional engineers, students, and early career researchers to follow the material presented in the book. The structure of the book has been modeled accordingly. It is divided into four modules: i) solution of a system of equations and eigenvalues which includes linear equations, determining eigenvalues, and solution of nonlinear equations; ii) function approximations: interpolation, data fit, numerical differentiation, and numerical integration; iii) solution of ordinary differential equations-initial valueproblems and boundary value problems; and iv) solution of partial differential equations-parabolic, elliptic, and hyperbolic PDEs. Each section of the book includes exercises to reinforce the concepts, and problems have been added at the end of each chapter. Exercise problems may be solved by using computational tools such as scientific calculators, spreadsheet programs, and MATLAB codes. The detailed coverage and pedagogical tools make this an ideal textbook for students, early career researchers, and professionals.
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