Computational methods for integral equations
Computational methods for integral equations
Rank-deficient and discrete ill-posed problems: numerical aspects of linear inversion
Rank-deficient and discrete ill-posed problems: numerical aspects of linear inversion
A Technique for the Numerical Solution of Certain Integral Equations of the First Kind
Journal of the ACM (JACM)
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
Breakdown-free GMRES for Singular Systems
SIAM Journal on Matrix Analysis and Applications
Old and new parameter choice rules for discrete ill-posed problems
Numerical Algorithms
Perceptual radiometric compensation for inter-reflection in immersive projection environment
Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology
FGMRES for linear discrete ill-posed problems
Applied Numerical Mathematics
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Range restricted iterative methods based on the Arnoldi process are attractive for the solution of large nonsymmetric linear discrete ill-posed problems with error-contaminated data (right-hand side). Several derivations of this type of iterative methods are compared in Neuman et al. (Linear Algebra Appl. in press). We describe MATLAB codes for the best of these implementations. MATLAB codes for range restricted iterative methods for symmetric linear discrete ill-posed problems are also presented.