Details

Large-Scale Nonlinear Optimization


Large-Scale Nonlinear Optimization


Nonconvex Optimization and Its Applications, Band 83

von: Gianni Pillo, Massimo Roma

96,29 €

Verlag: Springer
Format: PDF
Veröffentl.: 03.06.2006
ISBN/EAN: 9780387300658
Sprache: englisch
Anzahl Seiten: 298

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<P>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.</P>
<P>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&nbsp;theoretical analysis, algorithmic development, implementation issues and applications.</P>
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.
<P><STRONG>Large-Scale Nonlinear Optimization </STRONG>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.</P>
<P></P>
<P>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&nbsp;theoretical analysis, algorithmic development, implementation issues and applications.</P>
<P>&nbsp;</P><EM>
<P>Audience</P></EM>
<P>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.</P>
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

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