Large-scale nonlinear optimization
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 mos...
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| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
New York, NY :
Springer US
[20..].
Cham : Springer Nature |
| Edição: | 1st ed. 2006. |
| Colecção: | Nonconvex optimization and its applications
83 |
| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Description d'après consultation du 7 avril 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Large-Scale Nonlinear Optimization, Texte imprimé, 9781441940148 • Large-Scale Nonlinear Optimization, Texte imprimé, 9780387510668 • Large-scale nonlinear optimization, edited by G. Di Pillo, M. Roma, New York, Springer, 2006, 1 volume (ix-297 pages), Nonconvex optimization and its applications, 978-0-387-30063-4 |
Sumário:
- 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