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Numerical Methods and Optimization = Theory and Practice for Engineers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Numerical Methods and Optimization/ by Jean-Pierre Corriou.
其他題名:	Theory and Practice for Engineers /
作者:	Corriou, Jean-Pierre.
面頁冊數:	XX, 715 p. 228 illus., 154 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational Mathematics and Numerical Analysis. -
電子資源:	https://doi.org/10.1007/978-3-030-89366-8
ISBN:	9783030893668

Numerical Methods and Optimization = Theory and Practice for Engineers /
Corriou, Jean-Pierre.

Numerical Methods and OptimizationTheory and Practice for Engineers /[electronic resource] :by Jean-Pierre Corriou. - 1st ed. 2021. - XX, 715 p. 228 illus., 154 illus. in color.online resource. - Springer Optimization and Its Applications,1871931-6836 ;. - Springer Optimization and Its Applications,104.

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.

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 author’s personal website and presents both numerical and optimization methods.

ISBN: 9783030893668

Standard No.: 10.1007/978-3-030-89366-8doiSubjects--Topical Terms:

669338
Computational Mathematics and Numerical Analysis.

LC Class. No.: QA402.5-402.6

Dewey Class. No.: 519.6

Numerical Methods and Optimization = Theory and Practice for Engineers /
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520 $a 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 author’s personal website and presents both numerical and optimization methods.
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