# Splitting Algorithms, Modern Operator Theory, and Applications

## Videos from CMO Workshop

, Université Montpellier
- 09:35
Rate of convergence of the Nesterov accelerated gradient method in the subcritical case $\alpha \leq 3$
, University of Washington
- 10:03
Iteratively re-weighted lest squares and ADMM methods for solving affine inclusions
, Chile
- 10:44
On the Glaeser-Whitney extension problem
, Institute for Numerical and Applied Mathematics, University of Goettingen
- 11:49
Golden Ratio Algorithms for Variational Inequalities
, Vienna
- 12:17
ADMM for monotone operators: convergence analysis and rates
, University of Newcastle
- 12:48
Douglas-Rachford Method for Non-Convex Feasibility Problems
, AMS and the University of Michigan
- 15:35
The Inverse Function Theorems of Lawrence Graves
, The Chinese University of Hong Kong
- 17:04
A Unified Approach to Error Bounds for Structured Convex Optimization Problems
, Sevilla
- 18:18
Modulus of regularity and rate of convergence for a Fejer monotone sequence
, North Carolina State University
- 09:38
Parallel, Block-Iterative, Primal-Dual Monotone Operator Splitting
, Rutgers University
- 10:13
Asynchronous Parallel Applications of Block-Iterative Splitting
, Universitat Autònoma de Barcelona
- 10:47
Minimization of quadratic functions on convex sets without asymptotes
, University of British Columbia
- 11:51
The Douglas-Rachford algorithm in the possibly inconsistent case
, Chemnitz University of Technology
- 13:03
A forward-backward method for solving vector optimization problems
, University of Waterloo
- 13:35
On Decomposing the Proximal Map
, Tokyo Institute of Technology
- 15:33
Hierarchical Convex Optimization with Proximal Splitting Operators
, Far Eastern Federal University
- 16:11
Sharp Penalty Mapping Approach to Approximate Solution of Monotone Variational Inequalities
, UCSB
- 17:09
Quasidense multifunctions
, University of British Columbia
- 17:36
A principle of finding the least norm solution for a sum of two maximally monotone operators
, University of Vienna
- 18:16
A general double-proximal gradient algorithm for d.c. programming
, Cornell University
- 09:37
The flow limit of reflect-reflect-relax
, Lund University (Sweden)
- 11:51
Sharp Contraction Factors for the Douglas-Rachford Operator
, Federal Institute of Goias
- 12:25
A projection algorithm for non-monotone variational inequalities
, Hong Kong Baptist University
- 13:01
Partial error bound conditions and the linear convergence rate of ADMM
, University of South Australia
- 13:39
Optimal Control with Minimum Total Variation
, Cornell University
- 15:38
Error bounds and convergence of proximal methods for composite minimization
, Alicante
- 16:13
Modifying the Douglas-Rachford algorithm to solve best approximation problems
, University of Goettingen
- 17:46
ProxToolbox
, Federal University of Goias
- 09:39
Pointwise and ergodic convergence rates of a variable metric proximal ADMM