ARCANGELI'S DISCREPANCY PRINCIPLE FOR A MODIFIED PROJECTION SCHEME FOR ILL-POSED PROBLEMS
DOI10.1081/NFA-100103793zbMath0986.65057MaRDI QIDQ2748928
Publication date: 28 May 2002
Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)
computational complexityprojection methodTikhonov regularizationill-posed problemsArcangeli's methodregularization parameterdiscrepancy principles
Numerical solutions to equations with linear operators (65J10) Complexity and performance of numerical algorithms (65Y20) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Linear operators and ill-posed problems, regularization (47A52)
Related Items (5)
Cites Work
- Parameter choice by discrepancy principles for the approximate solution of ill-posed problems
- On the regularization of projection methods for solving ill-posed problems
- Parameter choice by discrepancy principles for ill-posed problems leading to optimal convergence rates
- A generalization of Arcangeli's method for ill-posed problems leading to optimal rates
- Optimization of projection methods for solving ill-posed problems
- An a posteriori parameter choice for ordinary and iterated Tikhonov regularization of ill-posed problems leading to optimal convergence rates
- On a generalized arcangeli's method for tikhonov regularization with inexact data
- On improving accuracy for Arcangeli's method for solving ill-posed equations
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