AbstractFor the linear-squares problems minx||b−Ax||2, where A is large and sparse, straightforward application of Cholesky or QR factorization will lead to catastrophic fill in factor R. We consider handling such problems by a iterative methods based on proper splittings. We establish the convergence, to the least-square solution y=A†x, for the sequential two-stage iterative method and for the parallel stationary iterative method
This paper presents a new iterative solver for least-squares problems, which is developed based on t...
AbstractA proper splitting of a rectangular matrix A is one of the form A = M − N, where A and M hav...
AbstractThree new iterative methods for the solution of the linear least squares problem with bound ...
AbstractFor the linear-squares problems minx||b−Ax||2, where A is large and sparse, straightforward ...
In this paper, a new special class of splitting iterations for solving linear least squares problems...
Summarization: The problem of accelerating the convergence rate of iterative schemes, as they apply ...
. In 1980, Han [6] described a finitely terminating algorithm for solving a system Ax b of linear ...
International audienceIn this paper, we are interested in computing the solution of an overdetermine...
Abstract. An iterative method LSMR is presented for solving linear systems Ax = b and least-squares ...
Abstract. Iterative methods are often suitable for solving least-squares problems min kAx, bk2, wher...
Solving the normal equation systems arising from least-squares problems can be challenging because ...
AbstractIn 1975 Chen and Gentleman suggested a 3-block SOR method for solving least-squares problems...
We present a novel iterative algorithm for approximating the linear least squares solution with low ...
Many algorithms for optimization are based on solving a sequence of symmetric indefinite linear syst...
AbstractLinear Least Squares (LLS) problems are particularly difficult to solve because they are fre...
This paper presents a new iterative solver for least-squares problems, which is developed based on t...
AbstractA proper splitting of a rectangular matrix A is one of the form A = M − N, where A and M hav...
AbstractThree new iterative methods for the solution of the linear least squares problem with bound ...
AbstractFor the linear-squares problems minx||b−Ax||2, where A is large and sparse, straightforward ...
In this paper, a new special class of splitting iterations for solving linear least squares problems...
Summarization: The problem of accelerating the convergence rate of iterative schemes, as they apply ...
. In 1980, Han [6] described a finitely terminating algorithm for solving a system Ax b of linear ...
International audienceIn this paper, we are interested in computing the solution of an overdetermine...
Abstract. An iterative method LSMR is presented for solving linear systems Ax = b and least-squares ...
Abstract. Iterative methods are often suitable for solving least-squares problems min kAx, bk2, wher...
Solving the normal equation systems arising from least-squares problems can be challenging because ...
AbstractIn 1975 Chen and Gentleman suggested a 3-block SOR method for solving least-squares problems...
We present a novel iterative algorithm for approximating the linear least squares solution with low ...
Many algorithms for optimization are based on solving a sequence of symmetric indefinite linear syst...
AbstractLinear Least Squares (LLS) problems are particularly difficult to solve because they are fre...
This paper presents a new iterative solver for least-squares problems, which is developed based on t...
AbstractA proper splitting of a rectangular matrix A is one of the form A = M − N, where A and M hav...
AbstractThree new iterative methods for the solution of the linear least squares problem with bound ...