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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Format: | Electronic |
Language: | English |
Published: |
Boston, MA :
Springer US,
1997.
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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.