Cover Image

Stochastic Convergence Analysis for Large-Scale Linear Discrete Ill-posed Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ling, Duan-Peng, Zhang, Wenlong
Format:	Preprint
Published:	2026
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic Convergence Analysis of Inverse Potential Problem
by: Jin, Bangti, et al.
Published: (2024)

A Data-Driven Approach to Solving First-Kind Fredholm Integral Equations and Their Convergence Analysis
by: Ling, Duan-Peng, et al.
Published: (2025)

Regularization of Discrete Ill-Conditioned Problems Done Right -- I
by: Dione, Ibrahima
Published: (2024)

Stochastic asymptotical regularization for nonlinear ill-posed problems
by: Long, Haie, et al.
Published: (2022)

Convergence of generalized cross-validation with applications to ill-posed integral equations
by: Jahn, Tim, et al.
Published: (2025)

Convergence Analysis of the Discrete Constrained Saddle Dynamics and Their Momentum Variants
by: Du, Qiang, et al.
Published: (2026)

Convergence of the Immersed Interface Method in Linear Elasticity
by: Asghar, Sabia, et al.
Published: (2024)

Convergence Analysis of An Alternating Nonlinear GMRES on Linear Systems
by: He, Yunhui
Published: (2025)

Stochastic gradient descent method with convex penalty for ill-posed problems in Banach spaces
by: Gu, Ruixue, et al.
Published: (2024)

Non-intrusive Least-Squares Functional A Posteriori Error Estimator: Linear and Nonlinear Problems with Plain Convergence
by: Li, Ziyan, et al.
Published: (2024)

Convergence Analysis of a Schrodinger Problem with Moving Boundary
by: Vigo, Daniel G. Alfaro, et al.
Published: (2024)

Convergence of the Discrete Minimum Energy Path
by: Liu, Xuanyu, et al.
Published: (2022)

Solving the inverse Source Problems for wave equation with final time measurements by a data driven approach
by: Gu, Qiling, et al.
Published: (2025)

On the Convergence of A Data-Driven Regularized Stochastic Gradient Descent for Nonlinear Ill-Posed Problems
by: Zhou, Zehui
Published: (2024)

High-Order Multi-Scale Method and Its Convergence Analysis for Nonlinear Thermo-Electro-Mechanical Coupling Problems of Composite Structures
by: Dong, Hao
Published: (2026)

A Stochastic Algorithm for Searching Saddle Points with Convergence Guarantee
by: Shi, Baoming, et al.
Published: (2025)

Wave number-Explicit Analysis for Galerkin Discretizations of Lossy Helmholtz Problems
by: Melenk, Jens M., et al.
Published: (2019)

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)

Convergence Analysis of the Alternating Anderson-Picard Method for Nonlinear Fixed-point Problems
by: Feng, Xue, et al.
Published: (2024)

Weak Convergence of Finite Element Approximations of Stochastic Linear Schrödinger equation driven by additive Wiener noise
by: Prasad, Mangala
Published: (2025)

Convergence and Stability of Discrete Exterior Calculus for the Hodge Laplace Problem in Two Dimensions
by: Zhu, Chengbin, et al.
Published: (2025)

Shallow neural network yields regularization for ill-posed inverse problems
by: Wang, Lan, et al.
Published: (2025)

A CUR Krylov Solver for Large-Scale Linear Matrix Equations
by: Akbari, Saeed, et al.
Published: (2025)

A novel model reduction method to solve inverse problems of parabolic type
by: Zhang, Wenlong, et al.
Published: (2024)

Stochastic Parameter Prediction in Cardiovascular Problems
by: Bakhshaei, Kabir, et al.
Published: (2024)

Convergence Analysis of a Linear, Unconditionally Energy-Stable SAV Finite Element Method for the Cahn-Hilliard Equation
by: Li, Na, et al.
Published: (2026)

Continuous Linear Finite Element Method for Biharmonic Problems on Surfaces
by: Cai, Ying, et al.
Published: (2024)

Convergence of Discontinuous Galerkin Methods for Quasiconvex and Relaxed Variational Problems
by: Grekas, Georgios, et al.
Published: (2025)

A Guide to Stochastic Optimisation for Large-Scale Inverse Problems
by: Ehrhardt, Matthias J., et al.
Published: (2024)

How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
by: Ren, Yinuo, et al.
Published: (2024)

The Variable Time-stepping DLN-Ensemble Algorithms for Incompressible Navier-Stokes Equations
by: Pei, Wenlong
Published: (2024)

A Comparison of Sparse Solvers for Severely Ill-Conditioned Linear Systems in Geophysical Marker-In-Cell Simulations
by: Ferrari, Marcel
Published: (2024)

Stochastic Active Discretizations for Accelerating Temporal Uncertainty Management of Gas Pipeline Loads
by: Harmon, Jake J., et al.
Published: (2024)

Optimal Estimation and Uncertainty Quantification for Stochastic Inverse Problems via Variational Bayesian Methods
by: Song, Ruibiao, et al.
Published: (2025)

Analysis of Hybrid MC/Deterministic Methods for Transport Problems Based on Low-Order Equations Discretized by Finite Volume Schemes
by: Novellino, Vincent N., et al.
Published: (2024)

Uniform multi-penalty regularization for linear ill-posed inverse problems
by: Bortolotti, Villiam, et al.
Published: (2023)

PASE: A Massively Parallel Augmented Subspace Eigensolver for Large Scale Eigenvalue Problems
by: Liao, Yangfei, et al.
Published: (2025)

A Stochastic ADMM Algorithm for Large-Scale Ptychography with Weighted Difference of Anisotropic and Isotropic Total Variation
by: Bui, Kevin, et al.
Published: (2023)

A monotone iterative reconstruction method for an inverse drift problem in a two-dimensional parabolic equation
by: Zhang, Liuying, et al.
Published: (2026)