An adaptive heavy ball method for ill-posed inverse problems
Fuente:
arXiv
Saved in:
| Main Authors: | Jin, Qinian, Huang, Qin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Convergence analysis of a stochastic heavy-ball method for linear ill-posed problems
by: Jin, Qinian, et al.
Published: (2024)
by: Jin, Qinian, et al.
Published: (2024)
Stochastic variance reduced gradient method for linear ill-posed inverse problems
by: Jin, Qinian, et al.
Published: (2024)
by: Jin, Qinian, et al.
Published: (2024)
Dual gradient flow for solving linear ill-posed problems in Banach spaces
by: Jin, Qinian, et al.
Published: (2022)
by: Jin, Qinian, et al.
Published: (2022)
On a posteriori stopping rules of adaptive stochastic heavy ball method for ill-posed problems
by: Gu, Ruixue, et al.
Published: (2026)
by: Gu, Ruixue, et al.
Published: (2026)
Randomized block coordinate descent method for linear ill-posed problems
by: Jin, Qinian, et al.
Published: (2024)
by: Jin, Qinian, et al.
Published: (2024)
On saturation of the discrepancy principle for nonlinear Tikhonov regularization in Hilbert spaces
by: Jin, Qinian
Published: (2024)
by: Jin, Qinian
Published: (2024)
Reduced order method based Anderson-type acceleration method for nonlinear least square problems and large scale ill-posed problems
by: Ito, Kazufumi, et al.
Published: (2025)
by: Ito, Kazufumi, et al.
Published: (2025)
Stochastic dual coordinate descent with adaptive heavy ball momentum for linearly constrained convex optimization
by: Zeng, Yun, et al.
Published: (2023)
by: Zeng, Yun, et al.
Published: (2023)
On growth error bound conditions with an application to heavy ball method
by: Jin, Qinian
Published: (2023)
by: Jin, Qinian
Published: (2023)
On the convergence of stochastic variance reduced gradient for linear inverse problems
by: Jin, Bangti, et al.
Published: (2025)
by: Jin, Bangti, et al.
Published: (2025)
An accelerated gradient method with adaptive restart for convex multiobjective optimization problems
by: Luo, Hao, et al.
Published: (2025)
by: Luo, Hao, et al.
Published: (2025)
Convergence analysis of multi-step one-shot methods for linear inverse problems
by: Bonazzoli, Marcella, et al.
Published: (2022)
by: Bonazzoli, Marcella, et al.
Published: (2022)
Off-the-grid regularisation for Poisson inverse problems
by: Lazzaretti, Marta, et al.
Published: (2024)
by: Lazzaretti, Marta, et al.
Published: (2024)
Dynamic inverse problems: Online regularisation theory
by: Jauhiainen, Jyrki, et al.
Published: (2026)
by: Jauhiainen, Jyrki, et al.
Published: (2026)
Notes on the discretization of TV-norm regularized inverse potential problems
by: Baratchart, L, et al.
Published: (2025)
by: Baratchart, L, et al.
Published: (2025)
A globally convergent Carleman-Picard method for an inverse initial-value problem for a nonlinear diffusive coagulation-fragmentation equation coagulation-fragmentation equation
by: Le, Thuy T., et al.
Published: (2026)
by: Le, Thuy T., et al.
Published: (2026)
$\ell_{1}^{2}-η\ell_{2}^{2}$ sparsity regularization for nonlinear ill-posed problems
by: Li, Long, et al.
Published: (2025)
by: Li, Long, et al.
Published: (2025)
Separation-free exponential fitting with structured noise, with applications to inverse problems in parabolic PDEs
by: Katz, Rami, et al.
Published: (2025)
by: Katz, Rami, et al.
Published: (2025)
Particle method for a nonlinear multimarginal optimal transport problem
by: Cances, Adrien, et al.
Published: (2026)
by: Cances, Adrien, et al.
Published: (2026)
A Riemannian rank-adaptive method for higher-order tensor completion in the tensor-train format
by: Vermeylen, Charlotte, et al.
Published: (2024)
by: Vermeylen, Charlotte, et al.
Published: (2024)
An extended Gauss-Newton method for full waveform inversion
by: Gholami, Ali
Published: (2023)
by: Gholami, Ali
Published: (2023)
Non-overlapping Schwarz methods in time for parabolic optimal control problems
by: Gander, Martin Jakob, et al.
Published: (2024)
by: Gander, Martin Jakob, et al.
Published: (2024)
On a fixed-point continuation method for a convex optimization problem
by: Fest, Jean-Baptiste, et al.
Published: (2022)
by: Fest, Jean-Baptiste, et al.
Published: (2022)
Nonlinear preconditioned primal-dual method for a class of structured minimax problems
by: Zhang, Lu, et al.
Published: (2024)
by: Zhang, Lu, et al.
Published: (2024)
A stochastic preconditioned Douglas-Rachford splitting method for saddle-point problems
by: Dong, Yakun, et al.
Published: (2022)
by: Dong, Yakun, et al.
Published: (2022)
Weak Scalability of time parallel Schwarz methods for parabolic optimal control problems
by: Lu, Liu-Di, et al.
Published: (2026)
by: Lu, Liu-Di, et al.
Published: (2026)
Data-driven approaches to inverse problems
by: Schönlieb, Carola-Bibiane, et al.
Published: (2025)
by: Schönlieb, Carola-Bibiane, et al.
Published: (2025)
Augmented Lagrangian methods for infeasible convex optimization problems and diverging proximal-point algorithms
by: Andrews, Roland, et al.
Published: (2025)
by: Andrews, Roland, et al.
Published: (2025)
Error estimates of $hp$-finite element method for elliptic optimal control problems with robin boundary
by: Lin, Xingyuan, et al.
Published: (2026)
by: Lin, Xingyuan, et al.
Published: (2026)
A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs
by: Meng, Tingwei, et al.
Published: (2024)
by: Meng, Tingwei, et al.
Published: (2024)
An augmented Lagrangian trust-region method with inexact gradient evaluations to accelerate constrained optimization problems using model hyperreduction
by: Wen, Tianshu, et al.
Published: (2024)
by: Wen, Tianshu, et al.
Published: (2024)
Efficient parallel inversion of ParaOpt preconditioners
by: Bonte, Corentin, et al.
Published: (2024)
by: Bonte, Corentin, et al.
Published: (2024)
Ensemble Kalman inversion with non-smooth regularization
by: Weissmann, Simon
Published: (2026)
by: Weissmann, Simon
Published: (2026)
A novel dual-decomposition method for non-convex two-stage stochastic mixed-integer quadratically constrained quadratic problems
by: Belyak, Nikita, et al.
Published: (2023)
by: Belyak, Nikita, et al.
Published: (2023)
Learning truly monotone operators with applications to nonlinear inverse problems
by: Belkouchi, Younes, et al.
Published: (2024)
by: Belkouchi, Younes, et al.
Published: (2024)
An $rp$-adaptive method for accurate resolution of shock-dominated viscous flow based on implicit shock tracking
by: Dong, Huijing, et al.
Published: (2025)
by: Dong, Huijing, et al.
Published: (2025)
An adaptive importance sampling algorithm for risk-averse optimization
by: Pieraccini, Sandra, et al.
Published: (2025)
by: Pieraccini, Sandra, et al.
Published: (2025)
Convergence of the deep BSDE method for stochastic control problems formulated through the stochastic maximum principle
by: Huang, Zhipeng, et al.
Published: (2024)
by: Huang, Zhipeng, et al.
Published: (2024)
Variable aggregation for nonlinear optimization problems
by: Naik, Sakshi, et al.
Published: (2025)
by: Naik, Sakshi, et al.
Published: (2025)
Second-order methods for quartically-regularised cubic polynomials, with applications to high-order tensor methods
by: Cartis, Coralia, et al.
Published: (2023)
by: Cartis, Coralia, et al.
Published: (2023)
Similar Items
-
Convergence analysis of a stochastic heavy-ball method for linear ill-posed problems
by: Jin, Qinian, et al.
Published: (2024) -
Stochastic variance reduced gradient method for linear ill-posed inverse problems
by: Jin, Qinian, et al.
Published: (2024) -
Dual gradient flow for solving linear ill-posed problems in Banach spaces
by: Jin, Qinian, et al.
Published: (2022) -
On a posteriori stopping rules of adaptive stochastic heavy ball method for ill-posed problems
by: Gu, Ruixue, et al.
Published: (2026) -
Randomized block coordinate descent method for linear ill-posed problems
by: Jin, Qinian, et al.
Published: (2024)