Dec 16, 2016 · ABSTRACT. In the field of 3D image recovery, huge amounts of data need to be processed. Parallel optimization methods are then of.

This algorithm combines a block coordinate strategy with an efficient parallel update. The proposed method is applied to a 3D microscopy image restoration ...

ABSTRACT. In the field of 3D image recovery, huge amounts of data need to be processed. Parallel optimization methods are then of.

This algorithm combines a block coordinate strategy with an efficient parallel update. The proposed method is applied to a 3D microscopy image restoration ...

Feb 6, 2020 · In this work, we propose a block distributed Majorize-Minorize Memory Gradient (BD3MG) optimization algorithm for solving large scale non-convex ...

Parallel implementations of MM schemes have been devised, where the block updates are performed simultaneously, allowing to distribute computations on different ...

In this context, we propose a Block Parallel Majorize-Minimize Memory Gradient (BP3MG) algorithm for solving large scale optimization problems. This algorithm ...

The algorithm can handle various subsampling schemes, both convex and nonconvex penalization functions and different possibly redundant frame representations.

The goal of this paper is to show how some of these methods can be successfully extended to the complex case. More precisely, we investigate the properties of ...

The proposed Majorization-Minimization algorithm runs efficient MM memory gradient updates on blocks of coordinates, in a parallel and possibly asynchronous ...