## Naše akce - Seminář SIAM SC - Další akce

### Marie Michenková - A Brief Introduction to Compressed Sensing and Low-Rank Matrix Completion Problems

Kdy: 22/10/2013 12:20

Kde: Seminární místnost KNM

Both compressed sensing and low-rank matrix recovery are recent

and quickly developing sampling theories. In compressed sensing,

the aim is to recover a sparse solution to an underdetermined

system of equations. In low-rank matrix completion, we recover

a low-rank data matrix from sampling of its entries. In the talk I will

give a brief introduction to both theories and will explain the relation

between them. If the time allows, I will also present some standard

approaches to handle these problems.