We consider the block Bregman-Kaczmarz method for finite dimensional lin...
The Bregman-Kaczmarz method is an iterative method which can solve stron...
Machine learning techniques paired with the availability of massive data...
We consider the problem of solving linear least squares problems in a
fr...
We propose a new randomized method for solving systems of nonlinear
equa...
In this paper we consider the problem learning of variational models in ...
Fiber metal laminates (FML) are composite structures consisting of metal...
The standard randomized sparse Kaczmarz (RSK) method is an algorithm to
...
The Extended Randomized Kaczmarz method is a well known iterative scheme...
The primal-dual method of Chambolle and Pock is a widely used algorithm ...
Flexible sparsity regularization means stably approximating sparse solut...
This paper investigates the randomized version of the Kaczmarz method to...
We revisit the classical Douglas-Rachford (DR) method for finding a zero...
We revisit total variation denoising and study an augmented model where ...
The Perona-Malik model has been very successful at restoring images from...
We propose the use of the Kantorovich-Rubinstein norm from optimal trans...
The linearized Bregman method is a method to calculate sparse solutions ...
The problem of the generation of an intermediate image between two given...