Optimization: Structure and Applications

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Charles E.M. Pearce, Emma Hunt
Springer Science & Business Media, Jun 29, 2009 - Mathematics - 401 pages

Optimization: Structure and Applications presents selected contributions from renowned researchers in the fields of operations research and industrial engineering. The book is divided into two parts; the first focuses on mathematical structure, and the second, on real-world applications. The work includes recent developments in several optimization-related topics such as decision theory, linear programming, turnpike theory, duality theory, convex analysis, and queuing theory. The applications presented include, but are not limited to, data imaging, network capacity allocation, water system management, and materials design.

The 21 self-contained chapters in this volume are devoted to the examination of modern trends and open problems in the field of optimization. This book will be a valuable tool not only to specialists interested in the technical detail and various applications presented, but also to researchers interested in building upon the book’s theoretical results.

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Contents

On the nondifferentiability of conemonotone functions
3
Introduction
15
3
22
5
51
2
58
Asymptotical stability of optimal paths in nonconvex
95
a unified approach
135
A turnpike property for discretetime control systems
142
New perspectives on optimal transforms of random
245
Optimal capacity assignment in general queueing
260
Analysis of a simple control policy for stormwater
273
to
286
8
295
References
306
The k+1th component of linear consecutivekoutofn
311
3
314

MondWeir Duality
157
Computing the fundamental matrix of an MG1type
167
A comparison of probabilistic and invariant subspace
189
Interpolating maps the modulus map and Hadamards
206
Estimating the size of correcting codes using extremal
225
References
341
Parallel line search
369
Duality for the discrete problems Id and
382
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