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 ...
GitHub

cupyx/scipy/sparse/linalg/lsqr method is not LSQR algorithm

LSQR is a specific iterative algorithm: https://www-leland.stanford.edu/group/SOL/software/lsqr/lsqr-toms82a.pdf which accesses A only via matrix-vector products and ...
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 ...
IEEE

The LSQR algorithm for inversion in synthetic aperture imaging radiometry

Abstract: Since the problem of reconstructing the radiometric brightness temperature images in synthetic aperture imaging radiometers has been mathematically demonstrated to be ill-posed, it needs to ...
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) ...