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Research projects

Methods for finding sparse solutions to ill-posed inverse problems

About this project

Project information

Project status



Mårten Gulliksson

Research subject

Mathematical models are used in numerous applications to describe some real world problem settings. In many cases there is a need to find unknown quantities in these models given some measurements. These problems are called inverse problems and are often ill-posed, i.e., the solution is very sensitive to errors in the measurements. Moreover, the solution may also be sparse which means that it consists of only a few non-zero elements. I this project we analyse and develop methods for finding sparse solutions to ill-posed inverse problems.


Research groups

Research funding bodies

  • Örebro University