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Numerical optimization with computational errors /

Bibliographic Details
Main Author: Zaslavski, Alexander J. (Author)
Corporate Author: ProQuest (Firm)
Format: eBook
Language:English
Published: Switzerland : Springer, [2016]
Series:Springer optimization and its applications ; v. 108.
Subjects:
Mathematical optimization.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. Introduction
  • 2. Subgradient Projection Algorithm
  • 3. The Mirror Descent Algorithm
  • 4. Gradient Algorithm with a Smooth Objective Function
  • 5. An Extension of the Gradient Algorithm
  • 6. Weiszfeld's Method
  • 7. The Extragradient Method for Convex Optimization
  • 8. A Projected Subgradient Method for Nonsmooth Problems
  • 9. Proximal Point Method in Hilbert Spaces
  • 10. Proximal Point Methods in Metric Spaces
  • 11. Maximal Monotone Operators and the Proximal Point Algorithm
  • 12. The Extragradient Method for Solving Variational Inequalities
  • 13. A Common Solution of a Family of Variational Inequalities
  • 14. Continuous Subgradient Method
  • 15. Penalty Methods
  • 16. Newton's method
  • References
  • Index. .