Introduction to Optimization

Pablo Pedregal

ISBN 10: 1441923349 / ISBN 13: 9781441923349

Published by Springer New York, Springer US Okt 2011, 2011

About this Item

Neuware -This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimal control, thus giving students an overall view of all aspects of optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 260 pp. Englisch.

Seller Inventory # 9781441923349

Bibliographic Details

• Title: Introduction to Optimization
• Publisher: Springer New York, Springer US Okt 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 1441923349
• ISBN 13: 9781441923349
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This undergraduate textbook aims to introduce students of science and engineering to the fascinating field of optimization. It brings together mathematical programming, variational problems, and optimal control, thus giving students an overall view of the subject. Applied mathematicians, physicists, engineers, and scientists will all find this introduction to optimization useful.

From the Back Cover

 

This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed.

There are numerous examples, illustrations, and exercises throughout the text, making it an ideal book for self-study. Applied mathematicians, physicists, engineers, and scientists will find this introduction to optimization extremely useful.