Handbook of Applied Optimization

By: Pardalos, Panos MContributor(s): Resende, Mauricio G.CMaterial type: TextTextPublication details: New York, N.Y. : Oxford University Press, 2001Description: xviii, 1095 pages : illustrationsISBN: 9780195125948; 0195125940 Subject(s): Mathematical optimizationDDC classification: 519.3
Contents:
Linear Programming -- Semidefinite Programming -- Combinatorial Optimization -- Quadratic Programming -- Nonlinear Programming -- Deterministic Global Optimization and Its Applications -- Decomposition Methods for Mathematical Programming -- Network Optimization -- Integer Programming -- Artificial Neural Networks in Optimization and Applications -- Stochastic Programming -- Hierarchical Optimization -- Complementarity and Related Problems -- Data Envelopment Analysis -- Data Envelopment Analysis -- Randomization in Discrete Optimization: Annealing Algorithms -- Problem Types -- Application Areas -- Optimization Modeling Languages -- Optimization Software Packages -- Optimization Software Libraries -- Optimization Test Problem Libraries -- Parallel Computing Environments -- Experimental Analysis of Optimization Algorithms -- Object-Oriented Programming -- Optimization and the Internet.
Summary: This text focuses on the algorithmic and computational aspects of optimization, particularly the methods for solving a wide range of decision-making problems. It covers optimization problems in a wide range of settings, from the airline and aerospace industries to telecommunications, finance, health systems, biomedicine, and engineering.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Permanent Reference Permanent Reference Main Library
Permanent Reference 		Reference 519.3 HAN (Browse shelf(Opens below)) Not for loan 011302
Total holds: 0

Index

Linear Programming --
Semidefinite Programming --
Combinatorial Optimization --
Quadratic Programming --
Nonlinear Programming --
Deterministic Global Optimization and Its Applications --
Decomposition Methods for Mathematical Programming --
Network Optimization --
Integer Programming --
Artificial Neural Networks in Optimization and Applications --
Stochastic Programming --
Hierarchical Optimization --
Complementarity and Related Problems --
Data Envelopment Analysis --
Data Envelopment Analysis --
Randomization in Discrete Optimization: Annealing Algorithms --
Problem Types --
Application Areas --
Optimization Modeling Languages --
Optimization Software Packages --
Optimization Software Libraries --
Optimization Test Problem Libraries --
Parallel Computing Environments --
Experimental Analysis of Optimization Algorithms --
Object-Oriented Programming --
Optimization and the Internet.

This text focuses on the algorithmic and computational aspects of optimization, particularly the methods for solving a wide range of decision-making problems. It covers optimization problems in a wide range of settings, from the airline and aerospace industries to telecommunications, finance, health systems, biomedicine, and engineering.

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