Computational Issues in High Performance Software for Nonlinear Optimization

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Almerico Murli, Gerardo Toraldo
Springer, Jun 14, 2007 - Business & Economics - 158 pages
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.
 

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Contents

COMPUTATIONAL
1
Impact of Partial Separability on Large Scale Optimization
26
On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent
41
Numerical Experiences with New Truncated Newton Methods in Large Scale
71
Sparse Linear Least Squares Problems in Optimization Pontus Matstoms 89
88
Survey Thelma D Mavridou and Panos M Pardalos
127
A Scalable Parallel Interior Point Algorithm for Stochastic Linear Programming
143
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