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Stochastic Programming

Numerical Techniques and Engineering Applications

  • Book
  • © 1995

Overview

Editors:
  1. Kurt Marti

    1. Fk. LRT, Universität der Bundeswehr Müchen, Neubiberg/München, Germany

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  2. Peter Kall

    1. Institut für Operations Research, Universität Zürich, Zürich, Switzerland

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 423)

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Table of contents (17 chapters)

  1. Front Matter

    Pages I-IX
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  3. Numerical Methods and Computer Support

    1. Computer Support for Modeling in Stochastic Linear Programming

      • P. Kall, J. Mayer
      Pages 54-70

    2. Structural Design via Evolution Strategies

      • Bernd Kost
      Pages 71-92

    3. On the Regularized Decomposition Method for Stochastic Programming Problems

      • Andrzej Ruszczyński
      Pages 93-108

    4. Multipoint Approximation Method for Structural Optimization Problems with Noisy Function Values

      • Vassili V. Toropov
      Pages 109-122

    5. Sequential Convex Programming Methods

      • K. Schittkowski, C. Zillober
      Pages 123-141

  4. Engineering Applications

    1. Target Costing: The Data Problem

      • Peter Abel, Stefan Niemand, Markus Wolbold
      Pages 142-176

    2. Statistical Characterization of Granular Assemblies

      • K. Bagi, A. Vásárhelyi
      Pages 177-195

    3. On Stochastic Aspects of a Metal Cutting Problem

      • Jitka Dupačová, Pavel Charamza, Jan Mádl
      Pages 196-209

    4. Consideration of Stochastic Effects for Finding Optimal Layouts of Mechanical Structures

      • H. A. Eschenauer, T. Vietor
      Pages 210-229

    5. Tolerance Dynamics for a High Precision Balance

      • Eberhard Franz, Friedrich Pfeiffer
      Pages 230-252

    6. On Boundary — Initial Value Problem for Linear Hyperbolic Thermoelasticity Equations with Control of Temperature

      • Jerzy Gawinecki, Lucjan Kowalski
      Pages 253-267

    7. Optimal Trajectory Planning for Robots under the Consideration of Stochastic Parameters and Disturbances — Computation of an Efficient Open-Loop Strategy

      • K. Marti, S. Qu
      Pages 268-288

    8. Performance Characteristics of OC Methods with Applications in Topology Design

      • G. I. N. Rozvany, M. Zhou
      Pages 289-328

    9. Stochastic Optimization Models for Machining Operations

      • T. Szántai, I. Mészáros, J. Völgyi
      Pages 329-351
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Keywords

About this book

In order to obtain more reliable optimal solutions of concrete technical/economic problems, e.g. optimal design problems, the often known stochastic variations of many technical/economic parameters have to be taken into account already in the planning phase. Hence, ordinary mathematical programs have to be replaced by appropriate stochastic programs. New theoretical insight into several branches of reliability-oriented optimization of stochastic systems, new computational approaches and technical/economic applications of stochastic programming methods can be found in this volume.

Editors and Affiliations

  • Fk. LRT, Universität der Bundeswehr Müchen, Neubiberg/München, Germany

    Kurt Marti

  • Institut für Operations Research, Universität Zürich, Zürich, Switzerland

    Peter Kall

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