DOI10.1023/A:1021918118380zbMath1003.65040OpenAlexW1579526657MaRDI QIDQ1599134
Bryan W. Lewis, Daniela Calvetti, Lothar Reichel
Publication date: 8 January 2003
Published in: BIT (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1023/a:1021918118380
A stopping criterion for iterative regularization methods,
Sylvester Tikhonov-regularization methods in image restoration,
Preconditioned RRGMRES for Discrete Ill-Posed Problems,
A truncated projected SVD method for linear discrete ill-posed problems,
On GMRES for Singular EP and GP Systems,
Iterative regularization with minimum-residual methods,
Subspace-restricted singular value decompositions for linear discrete ill-posed problems,
Range restricted iterative methods for linear discrete ill-posed problems,
Implementations of range restricted iterative methods for linear discrete ill-posed problems,
Uniqueness' failure for the finite element Cauchy-Poisson's problem,
Old and new parameter choice rules for discrete ill-posed problems,
Some results on the regularization of LSQR for large-scale discrete ill-posed problems,
FGMRES for linear discrete ill-posed problems,
Some properties of range restricted GMRES methods,
Convergence of Newton-MR under Inexact Hessian Information,
Regularization of inverse problems by an approximate matrix-function technique,
The regularizing properties of global GMRES for solving large-scale linear discrete ill-posed problems with several right-hand sides,
Conditional gradient Tikhonov method for a convex optimization problem in image restoration,
Convex constrained optimization for large-scale generalized Sylvester equations,
Cascadic multilevel methods for fast nonsymmetric blur- and noise-removal,
Invertible smoothing preconditioners for linear discrete ill-posed problems,
Decomposition methods for large linear discrete ill-posed problems,
Preconditioned iterative methods for linear discrete ill-posed problems from a Bayesian inversion perspective,
Regularization parameter determination for discrete ill-posed problems,
Arnoldi decomposition, GMRES, and preconditioning for linear discrete ill-posed problems