UID:
almafu_9959327186602883
Format:
1 online resource (xv, 584 pages) :
,
illustrations
Edition:
3rd ed., Fully updated.
ISBN:
9781118033340
,
1118033345
,
9781118031551
,
1118031555
,
9781118211601
,
111821160X
,
9781118515150
,
1118515153
Content:
Praise from the Second Edition " ... an excellent introduction to optimization theory ..." (Journal of Mathematical Psychology, 2002) "A textbook for a one-semester course on optimization theory and methods at the senior undergraduate or beginning graduate level." (SciTech Book News, Vol. 26, No. 2, June 2002) Explore the latest applications of optimization theory and methods Optimization is central to any problem involving decision making in many disciplines, such as engineering, mathematics, statistics, economics, and computer science. Now, more than ever, it is increasingly vital to have a fir.
Note:
Front Matter -- Mathematical Review. Methods of Proof and Some Notation -- Vector Spaces and Matrices -- Transformations -- Concepts from Geometry -- Elements of Calculus -- Unconstrained Optimization. Basics of Set-Constrained and Unconstrained Optimization -- One-Dimensional Search Methods -- Gradient Methods -- Newton's Method -- Conjugate Direction Methods -- Quasi-Newton Methods -- Solving Linear Equations -- Unconstrained Optimization and Neural Networks -- Global Search Algorithms -- Linear Programming. Introduction to Linear Programming -- Simplex Method -- Duality -- Nonsimplex Methods -- Nonlinear Constrained Optimization. Problems with Equality Constraints -- Problems with Inequality Constraints -- Convex Optimization Problems -- Algorithms for Constrained Optimization -- Multiobjective Optimization -- References -- Index -- Wiley-Interscience Series in Discrete Mathematics and Optimization.
,
Methods of proof and some notation -- Vector spaces and matrices -- Transformations -- Concepts from geometry -- Elements of calculus -- Basics of set-constrained and unconstrained optimization -- One-dimensional search methods -- Gradient methods -- Newton's method -- Conjugate direction methods -- Quasi-Newton methods -- Solving linear equations -- Unconstrained optimization and neural networks -- Global search algorithms -- Introduction to linear programming -- Simplex method -- Duality -- Nonsimplex methods -- Problems with equality constraints -- Problems with inequality constraints -- Convex optimization problems -- Algorithms for constrained optimization -- Multiobjective optimization.
Additional Edition:
Print version: Chong, Edwin Kah Pin. Introduction to optimization. Hoboken, N.J. : Wiley-Interscience, ©2008 ISBN 9780471758006
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118033340
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118033340
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118033340
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