Self-regularization of projection methods with a posteriori discretization level choice for severely ill-posed problems
From MaRDI portal
Publication:4807849
DOI10.1088/0266-5611/19/1/308zbMath1030.65057OpenAlexW1990718912MaRDI QIDQ4807849
Sergei V. Pereverzyev, Gottfried Bruckner
Publication date: 8 February 2004
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1088/0266-5611/19/1/308
numerical examplesHilbert spaceerror boundsgeneralized inverseprojection methodsseverely ill-posed problemsa posteriori parameter choice strategiesLinear ill-posed problemsself-regularizationlinear injective compact operator
Numerical solutions to equations with linear operators (65J10) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Linear operators and ill-posed problems, regularization (47A52)
Related Items
On the balancing principle for some problems of numerical analysis, On Self-regularization of Ill-Posed Problems in Banach Spaces by Projection Methods, A multiscale RBF method for severely ill-posed problems on spheres, A factorization of least-squares projection schemes for ill-posed problems, From a kinetic equation to a diffusion under an anomalous scaling, Two-parameter regularization of ill-posed spherical pseudo-differential equations in the space of continuous functions, A numerical study of variable coefficient elliptic Cauchy problem via projection method, A Variant of Projection-Regularization Method for Ill-Posed Linear Operator Equations, ON THE SELF-REGULARIZATION OF ILL-POSED PROBLEMS BY THE LEAST ERROR PROJECTION METHOD
