
Large-Scale Nonlinear Optimization
Springer (Publisher)
Published on 13. January 2006
Book
Hardback
X, 298 pages
978-0-387-30063-4 (ISBN)
Description
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.
More details
Series
Edition
2006 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Researchers in applied mathematics, advanced engineering, and computer science, also recommended for further reading within graduate studies, postgraduate and doctoral programs
Product notice
sewn/stitched
Cloth over boards
Illustrations
44 s/w Abbildungen
X, 298 p. 44 illus.
Dimensions
Height: 243 mm
Width: 162 mm
Thickness: 24 mm
Weight
652 gr
ISBN-13
978-0-387-30063-4 (9780387300634)
DOI
10.1007/0-387-30065-1
Schweitzer Classification
Other editions
Additional editions

Gianni Pillo | Massimo Roma
Large-Scale Nonlinear Optimization
Book
02/2011
Springer
€106.99
Shipment within 15-20 days

Gianni Pillo | Massimo Roma
Large-Scale Nonlinear Optimization
E-Book
06/2006
1st Edition
Springer
€96.29
Available for download
Content
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.