eBook Post-Optimal Analysis in Linear Semi-Infinite Optimization, 1st Edition

  • Published By:
  • ISBN-10: 148998044X
  • ISBN-13: 9781489980441
  • DDC: 519.3
  • Grade Level Range: College Freshman - College Senior
  • 121 Pages | eBook
  • Original Copyright 2014 | Published/Released June 2014
  • This publication's content originally published in print form: 2014
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Post-Optimal Analysis in Linear Semi-Infinite Optimization examines the following topics in regards to linear semi-infinite optimization: modeling uncertainty, qualitative stability analysis, quantitative stability analysis and sensitivity analysis. Linear semi-infinite optimization (LSIO) deals with linear optimization problems where the dimension of the decision space or the number of constraints is infinite. The authors compare the post-optimal analysis with alternative approaches to uncertain LSIO problems and provide readers with criteria to choose the best way to model a given uncertain LSIO problem depending on the nature and quality of the data along with the available software. This work also contains open problems which readers will find intriguing a challenging. Post-Optimal Analysis in Linear Semi-Infinite Optimization is aimed toward researchers, graduate and post-graduate students of mathematics interested in optimization, parametric optimization and related topics.

Table of Contents

Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
1: Preliminaries on Linear Semi-Infinite Optimization.
2: Modeling Uncertain Linear Semi-Infinite Optimization Problems.
3: Robust Linear Semi-Infinite Optimization.
4: Sensitivity Analysis.
5: Qualitative Stability Analysis.
6: Quantitative Stability Analysis.