Computational Issues in High Performance Software for Nonlinear Optimization - Rilegato

 
9780792398622: Computational Issues in High Performance Software for Nonlinear Optimization

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Contenuti

Introduction; A. Murli, G. Toraldo. A Comparison of Large Scale Mixed Complimentarity Problem Solvers; S.C. Billups, et al. Impact of Partial Separability on Large Scale Optimization; A. Bouaricha, J.J. More. On the Number of Inner Iterations Per Outer Iteration of a Globally Convergent Algorithm with General Nonlinear Inequality Constraints and Simple Bounds; A.R. Conn, et al. Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization; S. Lucidi, M. Roma. Sparse Linear Least Squares Problems in Optimization; P. Matstoms. Simulated Annealing and Genetic Algorithms for the Facility Layout problem: A Survey; T.D. Mavridou, P.M. Pardalos. Sequential Quadratic Programming Methods for Large-Scale Problems; W. Murray. A Scalable Parallel Interior Point Algorithm for Stochastic Linear Programming and Robust Optimization; Dafeng Yang, S.A. Zenios.

Product Description

Book by None

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.