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Large-Scale Nonlinear Optimization de Gianni Pillo

Large-Scale Nonlinear Optimization: Nonconvex Optimization and Its Applications, cartea 83

Editat de Gianni Pillo, Massimo Roma
en Limba Engleză Paperback – 11 feb 2011
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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Specificații

ISBN-13: 9781441940148
ISBN-10: 1441940146
Pagini: 308
Ilustrații: X, 298 p. 44 illus.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.44 kg
Ediția:Softcover reprint of hardcover 1st ed. 2006
Editura: Springer Us
Colecția Springer
Seria Nonconvex Optimization and Its Applications

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.
 
Audience
This book is intended for researchers in applied mathematics, advanced engineering, and computer science; it is also recommended for further reading within graduate studies, postgraduate and doctoral programs.

Caracteristici

Discusses the most recent advances in the development of methods and algorithms for large-scale nonlinear optimization and its applications Includes supplementary material: sn.pub/extras