Large-Scale Nonlinear Optimization

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Gianni Pillo, Massimo Roma
Springer Science & Business Media, Jun 3, 2006 - Mathematics - 298 pages
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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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Contents

Lagrange Multipliers with Optimal Sensitivity Properties
15
An Integrated Package for Nonlinear Optimization
35
On implicitfactorization constraint preconditioners
60
H Sue Dollar Nicholas I M Gould Andrew J Wathen 61
83
Exact penalty functions for generalized Nash problems
114
Projected Hessians for Preconditioning in OneStep OneShot
151
Conditions and parametric representations of approximate
172
A variational approach for minimum cost flow problems
211
Towards the Numerical Solution of a Large Scale PDAE
242
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