Splitting Algorithms, Modern Operator Theory, and Applications
Videos from CMO Workshop
Hedy Attouch, Université Montpellier
Monday Sep 18, 2017 09:02 - 09:35
Rate of convergence of the Nesterov accelerated gradient method in the subcritical case $\alpha \leq 3$
James Burke, University of Washington
Monday Sep 18, 2017 09:38 - 10:03
Iteratively re-weighted lest squares and ADMM methods for solving affine inclusions
Aris Daniilidis, Chile
Monday Sep 18, 2017 10:05 - 10:44
On the Glaeser-Whitney extension problem
Yura Malitsky, Institute for Numerical and Applied Mathematics, University of Goettingen
Monday Sep 18, 2017 11:14 - 11:49
Golden Ratio Algorithms for Variational Inequalities
Robert Csetnek, Vienna
Monday Sep 18, 2017 11:50 - 12:17
ADMM for monotone operators: convergence analysis and rates
Scott Lindstrom, University of Newcastle
Monday Sep 18, 2017 12:19 - 12:48
Douglas-Rachford Method for Non-Convex Feasibility Problems
Asen Dontchev, AMS and the University of Michigan
Monday Sep 18, 2017 15:00 - 15:35
The Inverse Function Theorems of Lawrence Graves
Anthony Man-Cho So, The Chinese University of Hong Kong
Monday Sep 18, 2017 16:31 - 17:04
A Unified Approach to Error Bounds for Structured Convex Optimization Problems
Genaro Lopez, Sevilla
Monday Sep 18, 2017 17:46 - 18:18
Modulus of regularity and rate of convergence for a Fejer monotone sequence
Patrick Combettes, North Carolina State University
Tuesday Sep 19, 2017 09:01 - 09:38
Parallel, Block-Iterative, Primal-Dual Monotone Operator Splitting
Jonathan Eckstein, Rutgers University
Tuesday Sep 19, 2017 09:40 - 10:13
Asynchronous Parallel Applications of Block-Iterative Splitting
Juan Enrique Martinez Legaz, Universitat Autònoma de Barcelona
Tuesday Sep 19, 2017 10:15 - 10:47
Minimization of quadratic functions on convex sets without asymptotes
Walaa Moursi, University of British Columbia
Tuesday Sep 19, 2017 11:14 - 11:51
The Douglas-Rachford algorithm in the possibly inconsistent case
Sorin-Mihai Grad, Chemnitz University of Technology
Tuesday Sep 19, 2017 12:27 - 13:03
A forward-backward method for solving vector optimization problems
Yaoliang Yu, University of Waterloo
Tuesday Sep 19, 2017 13:00 - 13:35
On Decomposing the Proximal Map
Isao Yamada, Tokyo Institute of Technology
Tuesday Sep 19, 2017 15:01 - 15:33
Hierarchical Convex Optimization with Proximal Splitting Operators
Evgeni Nurminski, Far Eastern Federal University
Tuesday Sep 19, 2017 15:35 - 16:11
Sharp Penalty Mapping Approach to Approximate Solution of Monotone Variational Inequalities
Stephen Simons, UCSB
Tuesday Sep 19, 2017 16:33 - 17:09
Quasidense multifunctions
xianfu wang, University of British Columbia
Tuesday Sep 19, 2017 17:10 - 17:36
A principle of finding the least norm solution for a sum of two maximally monotone operators
Radu Ioan Bot, University of Vienna
Tuesday Sep 19, 2017 17:37 - 18:16
A general double-proximal gradient algorithm for d.c. programming
Veit Elser, Cornell University
Thursday Sep 21, 2017 09:00 - 09:37
The flow limit of reflect-reflect-relax
Pontus Giselsson, Lund University (Sweden)
Thursday Sep 21, 2017 11:16 - 11:51
Sharp Contraction Factors for the Douglas-Rachford Operator
Reinier Diaz Millan, Federal Institute of Goias
Thursday Sep 21, 2017 11:54 - 12:25
A projection algorithm for non-monotone variational inequalities
Xiaoming Yuan, Hong Kong Baptist University
Thursday Sep 21, 2017 12:27 - 13:01
Partial error bound conditions and the linear convergence rate of ADMM
Yalçın Kaya, University of South Australia
Thursday Sep 21, 2017 13:03 - 13:39
Optimal Control with Minimum Total Variation
Adrian Lewis, Cornell University
Thursday Sep 21, 2017 15:01 - 15:38
Error bounds and convergence of proximal methods for composite minimization
Francisco J. Aragón Artacho, University of Alicante
Thursday Sep 21, 2017 15:38 - 16:13
Modifying the Douglas-Rachford algorithm to solve best approximation problems
Russell Luke, Georg-August Universität Göttingen
Thursday Sep 21, 2017 17:07 - 17:46
ProxToolbox
Max L.N. Gonçalves, Federal University of Goias
Friday Sep 22, 2017 09:01 - 09:39
Pointwise and ergodic convergence rates of a variable metric proximal ADMM
Rafal Goebel, Loyola University Chicago
Friday Sep 22, 2017 09:40 - 10:19
Pointwise Asymptotic Stability
Regina Burachik, University of South Australia
Friday Sep 22, 2017 10:20 - 10:43
An approach for the convex feasibility problem via Monotropic Programming
Jefferson Melo, Federal University of Goias
Friday Sep 22, 2017 11:14 - 11:47
Improved pointwise iteration-complexity of a regularized ADMM
