An automatic \(L_1\)-based regularization method for the analysis of FFC dispersion profiles with quadrupolar peaks
DOI10.1016/J.AMC.2022.127809OpenAlexW4313705902MaRDI QIDQ2698074
Villiam Bortolotti, P. Lo Meo, G. V. Spinelli, D. Chillura Martino, P. Conte, Fabiana Zama, Germana Landi
Publication date: 21 April 2023
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2208.04413
parameter identification\(L_1\) regularizationnonlinear Gauss-Seidel methodfast field cycling NMR relaxationfree-modelquadrupole relaxation enhancement
Mathematical programming (90Cxx) Communication, information (94Axx) Numerical analysis in abstract spaces (65Jxx)
Uses Software
Cites Work
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- On the convergence of the block nonlinear Gauss-Seidel method under convex constraints
- A Semismooth Newton Method for Nonlinear Parameter Identification Problems with Impulsive Noise
- A Regularization Parameter for Nonsmooth Tikhonov Regularization
- Two-Metric Projection Methods for Constrained Optimization
- Sparse and Redundant Representations
- Morozov's discrepancy principle and Tikhonov-type functionals
- Globally convergent block-coordinate techniques for unconstrained optimization
- Projected Newton Methods for Optimization Problems with Simple Constraints
- Computational Methods for Inverse Problems
- Introduction to Bayesian Scientific Computing
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