Software for limited memory restarted \(\ell^p\)-\(\ell^q\) minimization methods using generalized Krylov subspaces
From MaRDI portal
Publication:6572625
DOI10.1553/ETNA_VOL61S66zbMATH Open1543.65079MaRDI QIDQ6572625
Alessandro Buccini, Lothar Reichel
Publication date: 16 July 2024
Published in: ETNA - Electronic Transactions on Numerical Analysis (Search for Journal in Brave)
Linear regression; mixed models (62J05) Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Nonlinear total variation based noise removal algorithms
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Arnoldi methods for image deblurring with anti-reflective boundary conditions
- Large-scale Tikhonov regularization via reduction by orthogonal projection
- Parameter determination for Tikhonov regularization problems in general form
- Old and new parameter choice rules for discrete ill-posed problems
- Residual whiteness principle for parameter-free image restoration
- Generalized singular value decomposition with iterated Tikhonov regularization
- On the choice of regularization matrix for an \(\ell_2\)-\(\ell_q\) minimization method for image restoration
- An \(\ell^2\)-\(\ell^q\) regularization method for large discrete ill-posed problems
- A comparison of parameter choice rules for \(\ell^p\)-\(\ell^q\) minimization
- Large-scale regression with non-convex loss and penalty
- An \(\ell^p\)-\(\ell^q\) minimization method with cross-validation for the restoration of impulse noise contaminated images
- Majorization-minimization generalized Krylov subspace methods for \({\ell _p}\)-\({\ell _q}\) optimization applied to image restoration
- Regularizing preconditioners by non-stationary iterated Tikhonov with general penalty term
- IR tools: a MATLAB package of iterative regularization methods and large-scale test problems
- Convergence analysis of minimization-based noise level-free parameter choice rules for linear ill-posed problems
- Generalized cross validation for \(\ell^p\)-\(\ell^q\) minimization
- Adaptive cross approximation for Tikhonov regularization in general form
- The mathematics of computerized tomography
- A Generalized Krylov Subspace Method for $\ell_p$-$\ell_q$ Minimization
- Deblurring Images
- Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
- Reorthogonalization and Stable Algorithms for Updating the Gram-Schmidt QR Factorization
- Between hard and soft thresholding: optimal iterative thresholding algorithms
- Modulus-based iterative methods for constrained ℓ p – ℓ q minimization
- Iterated Tikhonov regularization with a general penalty term
- Limited memory restarted \(\ell^p\)-\(\ell^q\) minimization methods using generalized Krylov subspaces
- Variable selection in saturated and supersaturated designs via lp-lq minimization
- Parameter-free restoration of piecewise smooth images
Related Items (1)
This page was built for publication: Software for limited memory restarted \(\ell^p\)-\(\ell^q\) minimization methods using generalized Krylov subspaces
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6572625)