Mathematical Programming with Data Perturbations
eBook - ePub

Mathematical Programming with Data Perturbations

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Mathematical Programming with Data Perturbations

About this book

Presents research contributions and tutorial expositions on current methodologies for sensitivity, stability and approximation analyses of mathematical programming and related problem structures involving parameters. The text features up-to-date findings on important topics, covering such areas as the effect of perturbations on the performance of algorithms, approximation techniques for optimal control problems, and global error bounds for convex inequalities.

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Yes, you can access Mathematical Programming with Data Perturbations by Anthony V. Fiacco in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematical Analysis. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2020
Print ISBN
9780824700591
eBook ISBN
9781000153668
Topic
Mathematics
Subtopic
Mathematical Analysis
Index
Mathematics

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Preface
  6. Table of Contents
  7. Contributors
  8. Discretization and Mesh-Independence of Newton’s Method for Generalized Equations
  9. Extended Quadratic Tangent Optimization Problems
  10. On Generalized Differentiability of Optimal Solutions in Nonlinear Parametric Optimization
  11. Characterizations of Lipschitzian Stability in Nonlinear Programming
  12. On Second Order Sufficient Conditions for Structured Nonlinear Programs in Infinite-Dimensional Function Spaces
  13. Algorithmic Stability Analysis for Certain Trust Region Methods
  14. A Note on Using Linear Knowledge to Solve Efficiently Linear Programs Specified with Approximate Data
  15. On the Role of the Mangasarian–Fromovitz Constraint Qualification for Penalty-, Exact Penalty-, and Lagrange Multiplier Methods
  16. Hoffman’s Error Bound for Systems of Convex Inequalities
  17. Lipschitzian and Pseudo-Lipschitzian Inverse Functions and Applications to Nonlinear Optimization
  18. On Well-Posedness and Stability Analysis in Optimization
  19. Convergence of Approximations to Nonlinear Optimal Control Problems
  20. A Perturbation-Based Duality Classification for Max-Flow Min-Cut Problems of Strang and Iri
  21. Central and Peripheral Results in the Study of Marginal and Performance Functions
  22. Topological Stability of Feasible Sets in Semi-infinite Optimization: A Tutorial
  23. Solution Existence for Infinite Quadratic Programming
  24. Sensitivity Analysis of Nonlinear Programming Problems via Minimax Functions
  25. Parametric Linear Complementarity Problems
  26. Sufficient Conditions for Weak Sharp Minima of Order Two and Directional Derivatives of the Value Function
  27. Index