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Parametric optimization and related topics V : proceedings of the International Conference on Parametric Optimization and Related Topics V, Tokyo (Japan), October 6-10, 1997

Author: Jürgen Guddat
Publisher: Frankfurt am Main ; New York : P. Lang, 2000.
Edition/Format:   Print book : Conference publication : EnglishView all editions and formats
Summary:

This volume contains the proceedings of the fifth conference on Parametric Optimization and Related Topics, held in Tokyo, Japan, from October 6-10, 1997.

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Details

Genre/Form: Conference papers and proceedings
Tokio (1997)
Kongress
Congresses
Material Type: Conference publication, Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Jürgen Guddat
ISBN: 0820447943 9780820447940 3631367619 9783631367612
OCLC Number: 45828280
Description: 250 pages : illustrations ; 22 cm
Contents: Contents: A. Antipin: Gradient-Proximal Method of Solving of Extreme Inclusions - D. Augustin/H. Maurer: An Example for Computational Sensitivity Analysis of State Constrained Control Problems - E. Belousov: On Continuity of Point-to-Set Mappings associated with the Penalty-Function Method - S. Dempe/S. Vogel: The Subdifferential of the Optimal Solution in Parametric Optimization - T. Fujie/ R. Hirabayashi/Y. Ikebe/Y. Shinano: Stable Set Polytopes in a Higher Dimensional Space - R. Henrion/W. Roemisch: Stability of Solutions to Chance Constrained Stochastic Programs - Y. Kimura/ K. Tanaka: Some Dynamic Decision Process - U. Klemt: Sufficient Optimality Conditions and Stability Analysis for a Class of Multidimensional Control Problems - L. Neralic: Sensitivity in Data Envelopment Analysis for Arbitrary Perturbations of All Data in the Charnes-Cooper-Rhodes Model - O. Stein: The Reduction Ansatz in Absence of Lower Semi-Continuity - T. Takahama/S. Sakai: Multiobjective Nonlinear Optimization Method Vector Simplex - H. Tuy: On Parametric Methods in Global Optimization - H. Yamashita/H. Yabe: A Primal-Dual Interior Point Method for Nonlinear Optimization: Global Convergence, Convergence Rate and Numerical Performance for Large Scale Problems.
Responsibility: Jürgen Guddat [and others], (eds.).

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