MODULI OF REGULARITY AND RATES OF CONVERGENCE FOR FEJER MONOTONE SEQUENCES - TIB AV-Portal

MODULI OF REGULARITY AND RATES OF CONVERGENCE FOR FEJER MONOTONE SEQUENCES

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Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Lopez-Acedo, Genaro

Formal Metadata

Title

MODULI OF REGULARITY AND RATES OF CONVERGENCE FOR FEJER MONOTONE SEQUENCES

Alternative Title

Modulus of regularity and rate of convergence for a Fejer monotone sequence

Title of Series

Splitting Algorithms, Modern Operator Theory, and Applications (17w5030)

Number of Parts

30

Author

Lopez-Acedo, Genaro

Contributors

License

CC Attribution - NonCommercial - NoDerivatives 4.0 International:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor.

Identifiers

10.14288/1.0364488 (DOI)

Publisher

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Release Date

Language

Content Metadata

Subject Area	Computer Science Mathematics
Genre	Workshop/Interactive Format Lecture

Series

Splitting Algorithms, Modern Operator Theory, and Applications (17w5030)9 / 30

1

33:19

Nesterov accelerated gradient method in the subcritical case α≤ 3

2

25:38

Iteratively re-weighted least squares for Sums of Convex Functions

3

39:47

On the Glaeser-Whitney extension problem

4

35:01

Golden Ratio Algorithms for Variational Inequalities

5

27:30

ADMM for monotone operators: convergence analysis and rates

6

29:28

The Douglas-Rachford method for finding intersections of hypersurfaces

7

35:48

The Inverse Function Theorems of Lawrence M. Graves

8

33:14

A Unified Approach to Error Bounds for Structured Convex Optimization Problems

9

32:04

MODULI OF REGULARITY AND RATES OF CONVERGENCE FOR FEJER MONOTONE SEQUENCES

10

37:43

Parallel, Block-Iterative, Primal-Dual Monotone Operator Splitting

11

32:01

Minimization of quadratic functions on convex sets without asymptotes

12

37:38

On the Douglas–Rachford operator in the (possibly) inconsistent case and related progress

13

36:15

An inertial forward-backward method for solving vector optimization problems

14

35:33

On Decomposing the Proximal Map

15

32:20

Hierarchical Convex Optimization with Proximal Splitting Operators

16

36:02

Sharp Penalty Mapping Approach to Approximate Solution of Monotone Variational Inequalities

17

36:18

Quasidense multifunctions

18

26:00

A parameterized Douglas-Rachford algorithm

19

39:46

A general double-proximal gradient algorithm for d.c. programming

20

37:57

The flow limit of reflect-reflect-relax

21

35:59

Sharp Contraction Factors for the Douglas-Rachford Operator

22

31:55

A projection algorithm for non-monotone variational inequalities

23

36:29

Optimal Control with Minimum Total Variation

24

35:06

Modifying the Douglas-Rachford algorithm to solve best approximation problems

25

39:17

ProxToolbox: A Labortatory for Quantitative Convergence Analysis of Picard Iterations

26

38:06

Pointwise and ergodic convergence rates of a variable metric proximal ADMM

27

39:19

Pointwise Asymptotic Stability of a Continuum of Equilibria

28

23:40

Convex Feasibility via Monotropic Programming

29

33:05

Improved pointwise iteration-complexity of a regularized ADMM

30

36:26

Error bounds and convergence of proximal methods for composite minimization

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