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• W1966164811 abstract "The BiCG and QMR methods are well-known Krylov subspace iterative methods for the solution of linear systems of equations with a large nonsymmetric, nonsingular matrix. However, little is known of the performance of these methods when they are applied to the computation of approximate solutions of linear systems of equations with a matrix of ill-determined rank. Such linear systems are known as linear discrete ill-posed problems. We describe an application of the BiCG and QMR methods to the solution of linear discrete ill-posed problems that arise in image restoration, and compare these methods to the conjugate gradient method applied to the associated normal equations and to total variation-penalized Tikhonov regularization." @default.
• W1966164811 created "2016-06-24" @default.
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• W1966164811 date "2001-11-20" @default.
• W1966164811 modified "2023-10-14" @default.
• W1966164811 title "<title>Krylov subspace iterative methods for nonsymmetric discrete ill-posed problems in image restoration</title>" @default.
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• W1966164811 doi "https://doi.org/10.1117/12.448653" @default.
• W1966164811 hasPublicationYear "2001" @default.
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