A rank-one updating approach for solving systems of linear equations in the least squares sense.
A robust and efficient parallel SVD solver based on restarted Lanczos bidiagonalization.
A survey of generalized matrix inverses
A weighted-GCV method for Lanczos-hybrid regularization.
About existence and uniqueness of the restricted total least squares estimation.
Additional results on index splittings for Drazin inverse solutions of singular linear systems.
Algebraic Connections Between the Least Squares and Total Least Squares Problems.
Algebraic multigrid smoothing property of Kaczmarz's relaxation for general rectangular linear systems.
Algebraic relations between the total least squares and least squares problems with more than one solution.
Algorithms 80-81. Calculation of projections
Alternating projected Barzilai-Borwein methods for nonnegative matrix factorization.
An Algorithm for Best Approximate Solutions of Ax = b with a Smooth Strictly Convex Norm.
An extension of the perturbation analysis for the Drazin inverse.
An Iterative Substructuring Algorithm for Equilibrium Equations.
Analysis of the generalized total least squares problem AX ... B when some columns of A are free of error.
Application of the partitioning method to specific Toeplitz matrices
We propose an adaptation of the partitioning method for determination of the Moore-Penrose inverse of a matrix augmented by a block-column matrix. A simplified implementation of the partitioning method on specific Toeplitz matrices is obtained. The idea for observing this type of Toeplitz matrices lies in the fact that they appear in the linear motion blur models in which blurring matrices (representing the convolution kernels) are known in advance. The advantage of the introduced method is a significant...
Applications of the Moore-Penrose inverse in digital image restoration.
Biorthogonal systems approximating the solution of the nonlinear Volterra integro-differential equation.
Block iterative methods for equality constrained least squares problems
Block-Iterative Methods for Consistent and Inconsistent Linear Equations.