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Optimization and approximation
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Optimization and approximation
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Optimization and approximation/ by Pablo Pedregal.
Author:
Pedregal, Pablo.
Published:
Cham :Springer International Publishing : : 2017.,
Description:
xiii, 254 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Mathematical optimization. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-64843-9
ISBN:
9783319648439
Optimization and approximation
Pedregal, Pablo.
Optimization and approximation
[electronic resource] /by Pablo Pedregal. - Cham :Springer International Publishing :2017. - xiii, 254 p. :ill., digital ;24 cm. - UNITEXT,v.1082038-5714 ;. - UNITEXT ;v.85..
1 Overview. Part I Mathematical Programming. - 2 Linear Programming -- 3 Nonlinear programming -- 4 Numerical approximation -- Part II Variational problems -- 5 Basic theory for variational problems 6 Numerical approximation of variational problems -- Part III Optimal Control -- 7 Basic facts about optimal control. 8 Numerical approximation of basic optimal control problems, and dynamic programming. Part IV Appendix -- 9 Hints and solutions to exercises.
This book provides a basic, initial resource, introducing science and engineering students to the field of optimization. It covers three main areas: mathematical programming, calculus of variations and optimal control, highlighting the ideas and concepts and offering insights into the importance of optimality conditions in each area. It also systematically presents affordable approximation methods. Exercises at various levels have been included to support the learning process.
ISBN: 9783319648439
Standard No.: 10.1007/978-3-319-64843-9doiSubjects--Topical Terms:
527675
Mathematical optimization.
LC Class. No.: QA402.5
Dewey Class. No.: 519.6
Optimization and approximation
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Optimization and approximation
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[electronic resource] /
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by Pablo Pedregal.
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2017.
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Imprint: Springer,
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xiii, 254 p. :
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ill., digital ;
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24 cm.
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1 Overview. Part I Mathematical Programming. - 2 Linear Programming -- 3 Nonlinear programming -- 4 Numerical approximation -- Part II Variational problems -- 5 Basic theory for variational problems 6 Numerical approximation of variational problems -- Part III Optimal Control -- 7 Basic facts about optimal control. 8 Numerical approximation of basic optimal control problems, and dynamic programming. Part IV Appendix -- 9 Hints and solutions to exercises.
520
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This book provides a basic, initial resource, introducing science and engineering students to the field of optimization. It covers three main areas: mathematical programming, calculus of variations and optimal control, highlighting the ideas and concepts and offering insights into the importance of optimality conditions in each area. It also systematically presents affordable approximation methods. Exercises at various levels have been included to support the learning process.
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Mathematical optimization.
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Mathematics.
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Calculus of Variations and Optimal Control; Optimization.
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Mathematical and Computational Engineering.
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Approximations and Expansions.
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Programming Techniques.
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SpringerLink (Online service)
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http://dx.doi.org/10.1007/978-3-319-64843-9
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Mathematics and Statistics (Springer-11649)
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