Fictitious null spaces for improving the solution of injective inverse problems
From MaRDI portal
Publication:6659677
DOI10.1088/1361-6420/ad9fa1MaRDI QIDQ6659677
Ole Løseth Elvetun, Kim Knudsen, Bjørn Fredrik Nielsen
Publication date: 9 January 2025
Published in: Inverse Problems (Search for Journal in Brave)
Numerical solutions to equations with linear operators (65J10) Linear operators and ill-posed problems, regularization (47A52)
Cites Work
- Unnamed Item
- Unnamed Item
- 3D reconstruction for partial data electrical impedance tomography using a sparsity prior
- Sparse recovery by the standard Tikhonov method
- A regularization operator for source identification for elliptic PDEs
- Necessary and sufficient conditions for linear convergence of ℓ1-regularization
- Convergence rates and source conditions for Tikhonov regularization with sparsity constraints
- Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints
- Existence and Uniqueness for Electrode Models for Electric Current Computed Tomography
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Convergence rates of convex variational regularization
- Anti-reflective boundary conditions and re-blurring
- A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions
- Convergence rates inℓ1-regularization if the sparsity assumption fails
- Sparsity regularization in inverse problems
- Modified Tikhonov regularization for identifying several sources
- Discrete Inverse Problems
- Weighted sparsity regularization for source identification for elliptic PDEs
- Identifying the source term in the potential equation with weighted sparsity regularization
This page was built for publication: Fictitious null spaces for improving the solution of injective inverse problems
