On the randomized block Kaczmarz algorithms for solving matrix equation \(A X B = C\)

Cites Work

Unnamed Item
Randomized block Kaczmarz method with projection for solving least squares
Least squares solutions with special structure to the linear matrix equation \(AXB = C\)
New matrix iterative methods for constraint solutions of the matrix equation \(AXB=C\)
A randomized Kaczmarz algorithm with exponential convergence
Singular value and generalized singular value decompositions and the solution of linear matrix equations
The Jacobi and Gauss-Seidel-type iteration methods for the matrix equation \(A X B = C\)
Global FOM and GMRES algorithms for matrix equations
Modeling and inverse problems in image analysis. Transl. from the French
On the convergence of a randomized block coordinate descent algorithm for a matrix least squares problem
On the Kaczmarz methods based on relaxed greedy selection for solving matrix equation \(A X B = C\)
A doubly stochastic block Gauss-Seidel algorithm for solving linear equations
Randomized core reduction for discrete ill-posed problem
A note on the numerical approximate solutions for generalized Sylvester matrix equations with applications
Iterative solutions of the generalized Sylvester matrix equations by using the hierarchical identification principle
Iterative least-squares solutions of coupled sylvester matrix equations
An iterative method for the least squares symmetric solution of the linear matrix equation \(AXB = C\)
Tikhonov Regularization and Randomized GSVD
Randomized Extended Kaczmarz for Solving Least Squares
The university of Florida sparse matrix collection
Randomized algorithms for total least squares problems
Randomized Methods for Linear Constraints: Convergence Rates and Conditioning
Deblurring Images
Convergence Properties of the Randomized Extended Gauss--Seidel and Kaczmarz Methods
Randomized Iterative Methods for Linear Systems
Re-nnd SOLUTIONS OF THE MATRIX EQUATION AXB=C
Kronecker Products, Unitary Matrices and Signal Processing Applications
Large Least Squares Problems Involving Kronecker Products
Comments on Large Least Squares Problems Involving Kronecker Products
Randomized Extended Average Block Kaczmarz for Solving Least Squares
Tight upper bounds for the convergence of the randomized extended Kaczmarz and Gauss–Seidel algorithms
The right–left preconditioning technique for the solution of the large matrix equationAXB = C
A matrix LSQR iterative method to solve matrix equationAXB=C
An almost-maximal residual tensor block Kaczmarz method for large tensor linear systems

This page was built for publication: On the randomized block Kaczmarz algorithms for solving matrix equation \(A X B = C\)