Andreas Antoniou, Wu-Sheng Lu0387711066, 9780387711065
Advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has motivated widespread applications of optimization methods in many disciplines, e.g., engineering, business, and science, and has subsequently led to problem solutions that were considered intractable not too long ago.
Key Features:
extensively class-tested
provides a complete teaching package with MATLAB exercises and online solutions to end-of-chapter problems
includes recent methods of emerging interest such as semidefinite programming and second-order cone programming
presents a unified treatment of unconstrained and constrained optimization
uses a practical treatment of optimization accessible to broad audience, from college students to scientists and industry professionals
provides a thorough appendix with background theory so non-experts can understand how applications are solved from point of view of optimization
Table of contents :
PracticalOptimizationAlgori1275_f.jpg……Page 1
1.pdf……Page 2
2.pdf……Page 17
3.pdf……Page 43
4.pdf……Page 80
5.pdf……Page 95
6.pdf……Page 132
7.pdf……Page 158
8.pdf……Page 187
9.pdf……Page 215
10.pdf……Page 242
11.pdf……Page 275
12.pdf……Page 330
13.pdf……Page 382
14.pdf……Page 416
15.pdf……Page 458
16.pdf……Page 509
17.pdf……Page 540
18.pdf……Page 597
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