Optimization
Foundations and Applications
Ronald E. Miller(Author)
Wiley (Publisher)
Published on 22. November 1999
Book
Hardback
XVIII, 654 pages
978-0-471-32242-9 (ISBN)
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Description
Increasingly in the sciences, and in conjunction with the growth in power and accessibility of computers, analysts find themselves facing problems in which the aim is to find the "best" or optimal way to accomplish some objective, usually with the additional complication of constraints on the available choices. Approaches to these kinds of problems constitute the subject matter of this book. In addition to classical, calculus-based approaches, this text covers computer-based iterative methods. Algebraic results are accompanied with geometric interpretations in an effort to emphasize the intuitive appeal of mathematics. Mathematical details that the author felt to be important for a thorough understanding of a topic have been put into the book's appendices.
More details
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
figures
Dimensions
Height: 26.2 cm
Width: 18.6 cm
Weight
1358 gr
ISBN-13
978-0-471-32242-9 (9780471322429)
Schweitzer Classification
Other editions
Additional editions

E-Book
03/2011
Wiley
€158.99
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Book
03/2000
1st Edition
Wiley
€217.50
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Content
FOUNDATIONS: LINEAR METHODS; Matrix Algebra; Systems of Linear Equations; FOUNDATIONS: NONLINEAR METHODS; Unconstrained Maximization and Minimization; Constrained Maximization and Minimization; APPLICATIONS: ITERATIVE METHODS FOR NONLINEAR PROBLEMS; Solving Nonlinear Equations; Solving Unconstrained Maximization and Minimization Problems; APPLICATIONS: CONSTRAINED OPTIMIZATION IN LINEAR MODELS; Linear Programming: Fundamentals; Linear Programming: Extensions; Linear Programming: Interior Point Methods; APPLICATIONS: CONSTRAINED OPTIMIZATION IN NONLINEAR MODELS; Nonlinear Programming: Fundamentals; Nonlinear Programming: Duality and Computational Methods; Answers to Selected Problems; Index.