ON THE SELF-REGULARIZATION OF ILL-POSED PROBLEMS BY THE LEAST ERROR PROJECTION METHOD
From MaRDI portal
Publication:5011183
DOI10.3846/13926292.2014.923944zbMath1483.47020OpenAlexW1625700588MaRDI QIDQ5011183
Uno Hämarik, Alina Ganina, Urve Kangro
Publication date: 27 August 2021
Published in: Mathematical Modelling and Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3846/13926292.2014.923944
Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Linear operators and ill-posed problems, regularization (47A52)
Related Items (2)
On Self-regularization of Ill-Posed Problems in Banach Spaces by Projection Methods ⋮ A Variant of Projection-Regularization Method for Ill-Posed Linear Operator Equations
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Self-regularization by projection for noisy pseudodifferential equations of negative order
- Optimal Discretization of Inverse Problems in Hilbert Scales. Regularization and Self-Regularization of Projection Methods
- On the regularizing properties of a full multigrid method for ill-posed problems
- A convergence analysis of regularization by discretization in preimage space
- Direct and Iterative Methods for the Solution of Linear Operator Equations in Hilbert Space
- A Technique for the Numerical Solution of Certain Integral Equations of the First Kind
- Numerical Solution of Integral Equations of the First Kind with Nonsmooth Kernels
- V-cycle convergence of some multigrid methods for ill-posed problems
- Regularization by projection with a posteriori discretization level choice for linear and nonlinear ill-posed problems
- Self-regularization of projection methods with a posteriori discretization level choice for severely ill-posed problems
- Regularization by projection: Approximation theoretic aspects and distance functions
- Regularization by projection in variable Hilbert scales
- Monotonicity of error of regularized solution and its use for parameter choice
This page was built for publication: ON THE SELF-REGULARIZATION OF ILL-POSED PROBLEMS BY THE LEAST ERROR PROJECTION METHOD