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Title
Numerical methods and optimization : theory and practice for engineers / Jean-Pierre Corriou.
ISBN
9783030893668 (electronic bk.)
3030893669 (electronic bk.)
9783030893651
3030893650
Published
Cham : Springer, [2021]
Copyright
©2021
Language
English
Description
1 online resource : illustrations (chiefly color).
Other Standard Identifiers
10.1007/978-3-030-89366-8 doi
Call Number
TA335 .C67 2021
Dewey Decimal Classification
620.001/51
Summary
This text, covering a very large span of numerical methods and optimization, is primarily aimed at advanced undergraduate and graduate students. A background in calculus and linear algebra are the only mathematical requirements. The abundance of advanced methods and practical applications will be attractive to scientists and researchers working in different branches of engineering. The reader is progressively introduced to general numerical methods and optimization algorithms in each chapter. Examples accompany the various methods and guide the students to a better understanding of the applications. The user is often provided with the opportunity to verify their results with complex programming code. Each chapter ends with graduated exercises which furnish the student with new cases to study as well as ideas for exam/homework problems for the instructor. A set of programs made in Matlab is available on the authors personal website and presents both numerical and optimization methods.
Note
Includes index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed January 14, 2022).
Series
Springer optimization and its applications ; v. 187.
Available in Other Form
Print version: 9783030893651
Preface.-Nomenclature
1. Interpolation and Approximation
2. Numerical Integration
3. Equation Solving by Iterative Methods
4. Numerical Operations on Matrices
5. Numerical Solution of Systems of Algebraic Equations
6. Numerical Integration of Ordinary Differential Equations
7. Numerical Integration of Partial Differential Equations
8. Analytical Methods for Optimization
9. Numerical Methods of Optimization
10. Linear Programming
11. Quadratic Programming and Nonlinear Optimization
12. Dynamic optimization
Index.
