Login

Zaslavski, Alexander J.

Numerical Optimization with Computational Errors

Zaslavski, Alexander J. - Numerical Optimization with Computational Errors, ebook

130,70€

Ebook, PDF with Adobe DRM
ISBN: 9783319309217
DRM Restrictions

PrintingNot allowed
Copy to clipboardNot allowed

Table of contents

1. Introduction
Alexander J. Zaslavski

2. Subgradient Projection Algorithm
Alexander J. Zaslavski

3. The Mirror Descent Algorithm
Alexander J. Zaslavski

4. Gradient Algorithm with a Smooth Objective Function
Alexander J. Zaslavski

5. An Extension of the Gradient Algorithm
Alexander J. Zaslavski

6. Weiszfeld’s Method
Alexander J. Zaslavski

7. The Extragradient Method for Convex Optimization
Alexander J. Zaslavski

8. A Projected Subgradient Method for Nonsmooth Problems
Alexander J. Zaslavski

9. Proximal Point Method in Hilbert Spaces
Alexander J. Zaslavski

10. Proximal Point Methods in Metric Spaces
Alexander J. Zaslavski

11. Maximal Monotone Operators and the Proximal Point Algorithm
Alexander J. Zaslavski

12. The Extragradient Method for Solving Variational Inequalities
Alexander J. Zaslavski

13. A Common Solution of a Family of Variational Inequalities
Alexander J. Zaslavski

14. Continuous Subgradient Method
Alexander J. Zaslavski

15. Penalty Methods
Alexander J. Zaslavski

16. Newton’s Method
Alexander J. Zaslavski

Keywords: Mathematics, Calculus of Variations and Optimal Control; Optimization, Numerical Analysis, Operations Research, Management Science

Author(s)
Publisher
Springer
Publication year
2016
Language
en
Edition
1
Series
Springer Optimization and Its Applications
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9783319309217
Printed ISBN
978-3-319-30920-0

Similar titles