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Mathematical Theory of Optimization

Author(s): Du, Dingzhu; Pardalos, Panos M.; Wu, Weili
ISBN10: 1402000154
ISBN13: 9781402000157
Cover: Hardcover
 
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SummaryTable of Contents
This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. It includes recent developments in global convergence, the Powell conjecture, semidefinite programming, and relaxation techniques for designs of approximation solutions of combinatorial optimization problems. Audience: The book can be a textbook or useful reference for undergraduate and graduate students in applied mathematics, operations research, and computer science.

Provides an introduction to the mathematical theory of optimization. Emphasizes the theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Recent developments are discussed.
Preface xi
Optimization Problems
1(22)
Introduction
1(7)
Floorplanning
8(7)
Satisfiability
15(8)
Linear Programming
23(18)
Simplex Method
23(8)
Duality
31(2)
From Linear to Nonlinear
33(8)
Blind Man's Method
41(10)
Unconstrained Optimization
42(1)
Global Convergence
43(2)
Zangwill's Theorem
45(6)
Hitting Walls
51(14)
Linearly Constrainted Optimization
51(3)
Projection on Walls
54(5)
Rosen's Gradient Projection Method
59(6)
Slope and Path Length
65(16)
The First Slope Lemma
66(2)
A Property of Line Searches
68(4)
Consequences of the First Slope Lemma
72(9)
Average Slope
81(18)
The Second Slope Lemma
81(4)
The Global Convergence of Rosen's Method
85(8)
The Third Slope Lemma
93(6)
Inexact Active Constraints
99(26)
Gradient Projection
99(6)
Rotating Tangent Plane
105(7)
Reduced Gradient
112(13)
Efficiency
125(8)
Rate of Convergence
125(2)
Linear Rate
127(3)
Kantorovich Inequality
130(3)
Variable Metric Methods
133(18)
Newton's Method
133(4)
Quasi-Newton Methods
137(6)
Huang's Family
143(8)
Powell's Conjecture
151(16)
Inverse and Eigenvalues
151(3)
Powell's Conjecture
154(7)
Goldfarb's Method
161(6)
Minimax
167(20)
Optimality Condition
167(8)
Steiner Trees
175(3)
Solution of Gilbert-Pollak's Conjecture
178(9)
Relaxation
187(14)
Vertex Cover and MIN 2SAT
187(6)
General Cover Problem
193(2)
Rounding with Duality
195(6)
Semidefinite Programming
201(14)
Spectrahedron
201(2)
Duality
203(2)
Semidefinite Relaxation
205(10)
Interior Point Methods
215(12)
Affine Scaling
215(2)
Primal-Dual Affine Scaling
217(3)
Central Path
220(7)
From Local to Global
227(18)
Convex Envelopes
228(1)
Global Optimization Approaches to Discrete Problems
229(1)
Nonconvex Quadratic Programming
230(15)
Concave Quadratic Programming
231(2)
Pardalos-Rosen Algorithm
233(8)
Indefinite Quadratic Programming
241(4)
Historical Notes 245(10)
Bibliography 255(16)
Index 271

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