UID:
almahu_9947362883002882
Format:
X, 246 p.
,
online resource.
ISBN:
9780387216805
Series Statement:
Texts in Applied Mathematics, 46
Content:
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.
Note:
Linear Programming -- Nonlinear Programming -- Approximation Techniques -- Variational Problems and Dynamic Programming -- Optimal Control.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9781441923349
Language:
English
URL:
http://dx.doi.org/10.1007/b97412
