Behavior of nonlinear pocs higher order algorithms in the deconvolution problem

DOI10.1016/S0362-546X(96)00125-3zbMath0891.65134OpenAlexW2054094852MaRDI QIDQ4378736

C. Sánchez-Ávila

Publication date: 2 August 1998

Published in: Nonlinear Analysis: Theory, Methods & Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0362-546x(96)00125-3

zbMATH Keywords

convergenceregularizationhigher-order algorithmsnonlinear constraintdeconvolution problemdiscrete ill-posed problemsPOCS methodprojection operators onto convex sets method

Mathematics Subject Classification ID

Numerical methods for integral equations (65R20) Numerical methods for ill-posed problems for integral equations (65R30) Fredholm integral equations (45B05)

Cites Work

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• New POCS algorithms for regularization of inverse problems
• Regularized iterative image restoration with ringing reduction
• Operator-theoretic and computational approaches to Ill-posed problems with applications to antenna theory
• The method of projections for finding the common point of convex sets
• Least Squares Methods for Ill-Posed Problems with a Prescribed Bound

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