Computational Issues in High Performance Software for Nonlinear Optimization - Rilegato

Rilegato

ISBN 10: 0792398629 ISBN 13: 9780792398622

Casa editrice: Springer Nature B.V., 1997

Riassunto

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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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

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Dettagli dell'edizione

• Editore: Springer Nature B.V.
• Data di pubblicazione: 1997
• Lingua: Inglese
• ISBN 10: 0792398629
• ISBN 13: 9780792398622
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 168
• Redattore: Murli Almerico, Toraldo Gerardo
• Contatto del produttore: non disponibile
• Persona responsabile: GPSR Kontakt; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Germania