GitHub

law-dwg/LSQR-CUDA

LSQR-CUDA is written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. It is a CUDA port of the LSQR algorithm of Chris Paige and ...
GitHub

Medical-Imaging-Group/A-LSQR-type-method-provides-a-computationally-efficient-automated-optimal-choice-of-regularization-p

#Matlab Implementation of LSQR based algorithm (proposed): reconstruct_cw_lsqr.m (requires objective function: opt_lambda_cw.m and Lanczos Bidiagonalization function: lsqr_b_hybrid.m**) #Matlab ...
Scientific Research Publishing

C. C. Paige and M. A. Saunders, “LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares,” ACM Transactions on Mathematical, Vol. 8, No. 1, 1982, pp. 43-71 ...

ABSTRACT: In this paper, a new iterative solution method is proposed for solving multiple linear systems A(i)x(i)=b(i), for 1≤ i ≤ s, where the coefficient matrices A(i) and the right-hand sides b(i) ...
IEEE

Calculating resolution and covariance matrices for seismic tomography with the LSQR method

Abstract: In seismic tomography, the LSQR algorithm is commonly used for solving the inverse problem. LSQR belongs to the family of conjugate gradient methods, so the generalized inverse is not solved ...
Europe PMC

The application of subspace preconditioned LSQR algorithm for solving the electrocardiography inverse problem.

Regularization is an effective method for the solution of ill-posed ECG inverse problems, such as computing epicardial potentials from body surface potentials. The aim of this work was to explore more ...