Large-Scale Nonlinear Optimization (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
298
Utgivningsdatum
2011-02-11
Upplaga
Softcover reprint of hardcover 1st ed. 2006
Förlag
Springer-Verlag New York Inc.
Medarbetare
Roma, Massimo (ed.), Pillo, Gianni (ed.)
Illustrationer
44 Illustrations, black and white; X, 298 p. 44 illus.
Dimensioner
234 x 156 x 17 mm
Vikt
436 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9781441940148

Large-Scale Nonlinear Optimization

Häftad,  Engelska, 2011-02-11
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Large-Scale Nonlinear Optimization reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research. The chapters of the book, authored by some of the most active and well-known researchers in nonlinear optimization, give an updated overview of the field from different and complementary standpoints, including theoretical analysis, algorithmic development, implementation issues and applications.
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Innehållsförteckning

Fast Linear Algebra for Multiarc Trajectory Optimization.- Lagrange Multipliers with Optimal Sensitivity Properties in Constrained Optimization.- An O(n2) Algorithm for Isotonic Regression.- Knitro: An Integrated Package for Nonlinear Optimization.- On implicit-factorization constraint preconditioners.- Optimal algorithms for large sparse quadratic programming problems with uniformly bounded spectrum.- Numerical methods for separating two polyhedra.- Exact penalty functions for generalized Nash problems.- Parametric Sensitivity Analysis for Optimal Boundary Control of a 3D Reaction-Diffusion System.- Projected Hessians for Preconditioning in One-Step One-Shot Design Optimization.- Conditions and parametric representations of approximate minimal elements of a set through scalarization.- Efficient methods for large-scale unconstrained optimization.- A variational approach for minimum cost flow problems.- Multi-Objective Optimisation of Expensive Objective Functions with Variable Fidelity Models.- Towards the Numerical Solution of a Large Scale PDAE Constrained Optimization Problem Arising in Molten Carbonate Fuel Cell Modeling.- The NEWUOA software for unconstrained optimization without derivatives.