Computational Issues in High Performance Software for Nonlinear Optimization
Editat de Almerico Murli, Gerardo Toraldoen Limba Engleză Hardback – 31 ian 1997
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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| Springer Us – 31 ian 1997 | 907.70 lei 43-57 zile |
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Specificații
ISBN-13: 9780792398622
ISBN-10: 0792398629
Pagini: 158
Ilustrații: IV, 158 p.
Dimensiuni: 156 x 234 x 11 mm
Greutate: 0.41 kg
Ediția:Reprinted from Computational Optimization and Applications, 7:1, 1997 edition
Editura: Springer Us
Locul publicării:New York, NY, United States
ISBN-10: 0792398629
Pagini: 158
Ilustrații: IV, 158 p.
Dimensiuni: 156 x 234 x 11 mm
Greutate: 0.41 kg
Ediția:Reprinted from Computational Optimization and Applications, 7:1, 1997 edition
Editura: Springer Us
Locul publicării:New York, NY, United States
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Public țintă
ResearchCuprins
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.