Image de couverture de livre

Stochastic variance reduced gradient method for linear ill-posed inverse problems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jin, Qinian, Chen, Liuhong
Format:	Preprint
Publié:	2024
Sujets:	Numerical Analysis Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

An adaptive heavy ball method for ill-posed inverse problems
par: Jin, Qinian, et autres
Publié: (2024)

Dual gradient flow for solving linear ill-posed problems in Banach spaces
par: Jin, Qinian, et autres
Publié: (2022)

Convergence analysis of a stochastic heavy-ball method for linear ill-posed problems
par: Jin, Qinian, et autres
Publié: (2024)

On the convergence of stochastic variance reduced gradient for linear inverse problems
par: Jin, Bangti, et autres
Publié: (2025)

Randomized block coordinate descent method for linear ill-posed problems
par: Jin, Qinian, et autres
Publié: (2024)

On saturation of the discrepancy principle for nonlinear Tikhonov regularization in Hilbert spaces
par: Jin, Qinian
Publié: (2024)

Reduced order method based Anderson-type acceleration method for nonlinear least square problems and large scale ill-posed problems
par: Ito, Kazufumi, et autres
Publié: (2025)

On a posteriori stopping rules of adaptive stochastic heavy ball method for ill-posed problems
par: Gu, Ruixue, et autres
Publié: (2026)

Convergence analysis of multi-step one-shot methods for linear inverse problems
par: Bonazzoli, Marcella, et autres
Publié: (2022)

An accelerated gradient method with adaptive restart for convex multiobjective optimization problems
par: Luo, Hao, et autres
Publié: (2025)

Stochastic gradient with least-squares control variates
par: Nobile, Fabio, et autres
Publié: (2025)

Optimal local linear convergence of Nesterov's accelerated gradient method for $C^2$ functions under the Polyak--Łojasiewicz inequality
par: Feng, Zixu, et autres
Publié: (2026)

A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs
par: Meng, Tingwei, et autres
Publié: (2024)

An augmented Lagrangian trust-region method with inexact gradient evaluations to accelerate constrained optimization problems using model hyperreduction
par: Wen, Tianshu, et autres
Publié: (2024)

Limited memory gradient methods for unconstrained optimization
par: Ferrandi, Giulia, et autres
Publié: (2023)

Off-the-grid regularisation for Poisson inverse problems
par: Lazzaretti, Marta, et autres
Publié: (2024)

Dynamic inverse problems: Online regularisation theory
par: Jauhiainen, Jyrki, et autres
Publié: (2026)

How to induce regularization in linear models: A guide to reparametrizing gradient flow
par: Chou, Hung-Hsu, et autres
Publié: (2023)

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming
par: Cai, Yuhang, et autres
Publié: (2025)

A reduced-order model for parametrized Optimal Transport problems
par: Bonnet-Weill, Elise, et autres
Publié: (2026)

Fully discretized Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem
par: Chen, Ziang, et autres
Publié: (2024)

Notes on the discretization of TV-norm regularized inverse potential problems
par: Baratchart, L, et autres
Publié: (2025)

Flattened one-bit stochastic gradient descent: compressed distributed optimization with controlled variance
par: Stollenwerk, Alexander, et autres
Publié: (2024)

A globally convergent Carleman-Picard method for an inverse initial-value problem for a nonlinear diffusive coagulation-fragmentation equation coagulation-fragmentation equation
par: Le, Thuy T., et autres
Publié: (2026)

Robust Kaczmarz methods for nearly singular linear systems
par: Ke, Yunying, et autres
Publié: (2026)

A perturbed preconditioned gradient descent method for the unconstrained minimization of composite objectives
par: Park, Jea-Hyun, et autres
Publié: (2025)

Convergence of a particle method for gradient flows on the $L^p$-Wasserstein space
par: Lei, Rong
Publié: (2025)

Variable projection framework for the reduced-rank matrix approximation problem by weighted least-squares
par: Terray, Pascal
Publié: (2025)

$\ell_{1}^{2}-η\ell_{2}^{2}$ sparsity regularization for nonlinear ill-posed problems
par: Li, Long, et autres
Publié: (2025)

Separation-free exponential fitting with structured noise, with applications to inverse problems in parabolic PDEs
par: Katz, Rami, et autres
Publié: (2025)

Stochastic dual coordinate descent with adaptive heavy ball momentum for linearly constrained convex optimization
par: Zeng, Yun, et autres
Publié: (2023)

An unfitted finite element method for PDE-constrained shape optimization via shape gradient flow
par: Gong, Wei, et autres
Publié: (2026)

Error estimates of $hp$-finite element method for elliptic optimal control problems with robin boundary
par: Lin, Xingyuan, et autres
Publié: (2026)

Particle method for a nonlinear multimarginal optimal transport problem
par: Cances, Adrien, et autres
Publié: (2026)

An extended Gauss-Newton method for full waveform inversion
par: Gholami, Ali
Publié: (2023)

Non-overlapping Schwarz methods in time for parabolic optimal control problems
par: Gander, Martin Jakob, et autres
Publié: (2024)

On a fixed-point continuation method for a convex optimization problem
par: Fest, Jean-Baptiste, et autres
Publié: (2022)

Numerical analysis of a first-order computational algorithm for reaction-diffusion equations via the primal-dual hybrid gradient method
par: Liu, Shu, et autres
Publié: (2024)

Stochastic gradient descent method with convex penalty for ill-posed problems in Banach spaces
par: Gu, Ruixue, et autres
Publié: (2024)

Nonlinear preconditioned primal-dual method for a class of structured minimax problems
par: Zhang, Lu, et autres
Publié: (2024)