Computational Issues in High Performance Software for Nonlinear Optimization

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Computational Issues in High Performance Software for Nonlinear Optimization

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Computational Issues in High Performance Software for Nonlinear Optimization

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. Language: English
  • 品牌: Unbranded
  • 类别: 教育
  • 语言: English
  • 出版日期: 1997/01/31
  • 艺术家: Murli Almerico
  • 页数: 158
  • 出版社/标签: Springer Us
  • 格式: Hardback
  • Fruugo ID: 338016136-741677468
  • ISBN: 9780792398622
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