1 citations · 2 across the 7 of their papers we have counts for
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TRIPs-Py: Techniques for Regularization of Inverse Problems in Python
Mirjeta Pasha, Silvia Gazzola, Connor Sanderford +1
In this paper, we describe TRIPs-Py, a new Python package of linear discrete inverse problems solvers and test problems. The goal of the package is two-fold: 1) to provide tools fo…
Fast randomized algorithms for computing the generalized tensor SVD based on the tubal product
Salman Ahmadi-Asl, Ugochukwu Ugwu
This work deals with developing two fast randomized algorithms for computing the generalized tensor singular value decomposition (GTSVD) based on the tubal product (t-product). The…
Tensor regularization by truncated iteration: a comparison of some solution methods for large-scale linear discrete ill-posed problem with a t-product
Ugochukwu O. Ugwu, Lothar Reichel
This paper describes and compares some structure preserving techniques for the solution of linear discrete ill-posed problems with the t-product. A new randomized tensor singular v…
Tensor Arnoldi-Tikhonov and GMRES-type methods for ill-posed problems with a t-product structure
Lothar Reichel, Ugochukwu O. Ugwu
This paper describes solution methods for linear discrete ill-posed problems defined by third order tensors and the t-product formalism introduced in [M. E. Kilmer and C. D. Martin…
Weighted tensor Golub-Kahan-Tikhonov-type methods applied to image processing using a t-product
Lothar Reichel, Ugochukwu O Ugwu
This paper discusses weighted tensor Golub-Kahan-type bidiagonalization processes using the t-product. This product was introduced in [M. E. Kilmer and C. D. Martin, Factorization…