Brian Sweeney

most citedParameter Selection by GCV and a

χ^{2}

test within Iterative Methods for

ℓ_{1}

-regularized Inverse Problems

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

math.NA2024

Efficient Decomposition-Based Algorithms for $ℓ_{1}$ -Regularized Inverse Problems with Column-Orthogonal and Kronecker Product Matrices

Brian Sweeney, Malena I. Español, Rosemary Renaut

We consider an $ℓ_{1}$ -regularized inverse problem where both the forward and regularization operators have a Kronecker product structure. By leveraging this structure, a joint de…

math.NA2024★ 1 cited

Parameter Selection by GCV and a $χ^{2}$ test within Iterative Methods for $ℓ_{1}$ -regularized Inverse Problems

Brian Sweeney, Rosemary Renaut, Malena Español

$ℓ_{1}$ regularization is used to preserve edges or enforce sparsity in a solution to an inverse problem. We investigate the Split Bregman and the Majorization-Minimization iterat…

Efficient Decomposition-Based Algorithms for ℓ1​-Regularized Inverse Problems with Column-Orthogonal and Kronecker Product Matrices

Parameter Selection by GCV and a χ2 test within Iterative Methods for ℓ1​-regularized Inverse Problems

Efficient Decomposition-Based Algorithms for $ℓ_{1}$ -Regularized Inverse Problems with Column-Orthogonal and Kronecker Product Matrices

Parameter Selection by GCV and a $χ^{2}$ test within Iterative Methods for $ℓ_{1}$ -regularized Inverse Problems