Computational Issues in High Performance Software for Nonlinear Optimization

Computational Issues in High Performance Software for Nonlinear Research brings together in one place important contributions and up-to-date research results in this important area. Computational Issues in High Performance Software for Nonlinear Research serves as an excellent reference, providing i...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Murli, Almerico. (Editor), Toraldo, Gerardo. (Editor)
Format: Electronic
Language:English
Published: Boston, MA : Springer US, 1997.
Subjects:
Online Access:View fulltext via EzAccess
Table of Contents:
  • A Comparison of Large Scale Mixed Complementarity Problem Solvers
  • Impact of Partial Separability on Large-Scale Optimization
  • On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm for Optimization with General Nonlinear Inequality Constraints and Simple Bounds
  • Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization
  • Sparse Linear Least Squares Problems in Optimization
  • Simulated Annealing and Genetic Algorithms for the Facility Layout Problem: A Survey
  • Sequential Quadratic Programming Methods for Large-Scale Problems
  • A Scalable Parallel Interior Point Algorithm for Stochastic Linear Programming and Robust Optimization.