Product details:
ISBN13: | 9783031082252 |
ISBN10: | 3031082257 |
Binding: | Hardback |
No. of pages: | 820 pages |
Size: | 240x168 mm |
Weight: | 1755 g |
Language: | English |
Illustrations: | 344 Illustrations, black & white; 2 Illustrations, color |
608 |
Category:
Computational Methods in Engineering
Edition number: 1st ed. 2023
Publisher: Springer
Date of Publication: 1 June 2023
Number of Volumes: 1 pieces, Book
Normal price:
Publisher's listprice:
EUR 171.19
EUR 171.19
Your price:
56 513 (53 822 HUF + 5% VAT )
discount is: 20% (approx 14 128 HUF off)
Discount is valid until: 30 June 2024
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.
Click here to subscribe.
Availability:
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Can't you provide more accurate information?
Not in stock at Prospero.
Short description:
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.
Long description:
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.
Table of Contents:
Introduction.- Solution of linear equations.- Computation of eigenvalues.- Solution of algebraic equations.- Interpolation.