Abstract This paper addresses the discretisation problem for sparse linear systems. Classical methods usually destroy sparsity patterns of continuous-time systems. We develop an optimisation procedure that yields the best approximation to the discrete-time dynamical matrix with a prescribed sparsity pattern and subject to stability and other constraints. By formulating this problem in an adequate manner, tools from convex optimisation can be then applied. Error bounds for the approximation are provided for special classes of matrices. Numerical examples are included
This paper is about solving an optimization problem for a sparse solution. Given a matrix A and a ve...
We propose recovering 1D piecewice linear signal using a sparsity-based method consisting of two ste...
Considering the class of linear time-invariant (LTI) systems and utilizing the various mathematical ...
We address the problem of designing optimal linear time-invariant (LTI) sparse controllers for LTI s...
We consider the problem of approximate solution ex of a linear system Ax = b over the reals, such th...
AbstractWe consider the problem of approximate solution x̄ of of a linear system Ax = b over the rea...
The aim of this thesis is to conduct a general investigation in the field of sparse matrices, to inv...
In this paper a modified Euler transformation is introduced and studied. The main merit of this tran...
In this thesis we investigate how the properties of chordal graphs can be used to exploit sparsity i...
Abstract. Numerical experiments have indicated that the reweighted `1-minimization performs exceptio...
Abstract—Recently, the worse-case analysis, probabilistic anal-ysis and empirical justification have...
The use of sparsity has emerged in the last fifteen years as an important tool for solving many prob...
In recent years, methods for sparse approximation have gained considerable attention and have been s...
International audienceAn increasing number of applications is concerned with recovering a sparse mat...
A multi-level method for the solution of sparse linear systems is introduced. The definition of the ...
This paper is about solving an optimization problem for a sparse solution. Given a matrix A and a ve...
We propose recovering 1D piecewice linear signal using a sparsity-based method consisting of two ste...
Considering the class of linear time-invariant (LTI) systems and utilizing the various mathematical ...
We address the problem of designing optimal linear time-invariant (LTI) sparse controllers for LTI s...
We consider the problem of approximate solution ex of a linear system Ax = b over the reals, such th...
AbstractWe consider the problem of approximate solution x̄ of of a linear system Ax = b over the rea...
The aim of this thesis is to conduct a general investigation in the field of sparse matrices, to inv...
In this paper a modified Euler transformation is introduced and studied. The main merit of this tran...
In this thesis we investigate how the properties of chordal graphs can be used to exploit sparsity i...
Abstract. Numerical experiments have indicated that the reweighted `1-minimization performs exceptio...
Abstract—Recently, the worse-case analysis, probabilistic anal-ysis and empirical justification have...
The use of sparsity has emerged in the last fifteen years as an important tool for solving many prob...
In recent years, methods for sparse approximation have gained considerable attention and have been s...
International audienceAn increasing number of applications is concerned with recovering a sparse mat...
A multi-level method for the solution of sparse linear systems is introduced. The definition of the ...
This paper is about solving an optimization problem for a sparse solution. Given a matrix A and a ve...
We propose recovering 1D piecewice linear signal using a sparsity-based method consisting of two ste...
Considering the class of linear time-invariant (LTI) systems and utilizing the various mathematical ...