Title:
Optimization Structure and Applications / edited by Charles Pearce, Emma Hunt.
Springer Optimization and Its Applications,
Springer Optimization and Its Applications,
Main Entry:
Pearce, Charles.
Hunt, Emma.
SpringerLink (Online service)
Publisher:
Springer New York,
Publication Date:
2009.
Publication Place:
New York, NY :
ISBN:
9780387980966
Subject:
Mathematics.
Mathematical optimization.
Mathematics.
Optimization.
Mathematical Modeling and Industrial Mathematics.
Series:
Springer Optimization and Its Applications, 32
Springer Optimization and Its Applications, 32
Edition:
1.
Contents:
<P>List of Figures -- List of Tables -- Preface -- Editors -- Part I Optimization: Structure -- On the nondifferentiability of cone-monotone functions in Banach spaces -- Duality and a Farkas lemma for integer programs -- Some nonlinear Lagrange and penalty functions for problems with a single constraint -- Convergence of truncates in l<SUP>1</SUP> optimal feedback control -- Asymptotical stability of optimal paths in nonconvex problems -- Pontryagin principle with a PDE - a unified approach -- A turnpike property for discrete-time control systems -- Mond-Weir duality -- Computing in the fundamental matrix of a M/G/1-type Markov chain -- A comparison of probabilistic and invariant subspace methods for the block M/G/1 Markov chain -- Interpolating maps, the modulus map and the Hadamard's inequality -- Part II Optimization: Applications -- Estimating the size of correcting codes using extremal graph problems -- New perspectives on optimal transforms of random vectors -- Optimum capacity assignment in general queueing networks,- Analysis of a simple control policy for stormwater management in two connected dams -- Optimal design of linear consecutive-k-out-of-n systems -- The (k+1)-th component of linear consecutive-k-out-of-n systems -- Optimizing properties of plastics compounds containing wood flour -- Constrained spanning, Steiner trees and the triangle inequality -- Parallel line search -- Alternative mathematical programming models: a case for a coal blending decision process.</P>.
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Printed edition: 9780387980959
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