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Computational Issues in High Performance Software for Nonlinear Optimization

✍ Scribed by Almerico Murli, Gerardo Toraldo


Publisher
Springer
Year
1997
Tongue
English
Leaves
163
Category
Library

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✦ Synopsis


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 insight into some of the most important research issues in the field.

✦ Table of Contents


Table of Contents......Page 4
Introduction......Page 6
A Comparison of Large Scale Mixed Complimentarity Problem Solvers......Page 8
Impact of Partial Separability on Large-Scale Optimization......Page 32
On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm with General Nonlinear Inequality Constraints and Simple Bounds......Page 46
Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization......Page 76
Sparse Linear Least Squares Problems in Optimization......Page 94
Simulated Annealing and Genetic Algorithms for the Facility Layout Problem: A Survey......Page 116
Sequential Quadratic Programming Methods for Large-Scale Problems......Page 132
A Scalable Parallel Interior Point Algorithm for Stochastic Linear Programming and Robust Optimization......Page 148


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