Cover Image

A stochastic column-block gradient descent method for solving nonlinear systems of equations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Naiyu, Bao, Wendi, Xing, Lili, Li, Weiguo
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On a stochastic column-block bregman method for nonlinear systems
by: Bao, Wendi, et al.
Published: (2026)

On convergence of greedy block nonlinear Kaczmarz methods with momentum
by: Jiang, Naiyu, et al.
Published: (2025)

On convergence of residual-based extended randomized Kaczmarz methods for matrix equations
by: Bao, Wendi, et al.
Published: (2026)

A monotone block coordinate descent method for solving absolute value equations
by: Luo, Tingting, et al.
Published: (2024)

On the adaptive deterministic block coordinate descent methods with momentum for solving large linear least-squares problems
by: Tan, Long-Ze, et al.
Published: (2024)

An explicit unconditionally stable numerical method for solving damped nonlinear Schrödinger equations with a focusing nonlinearity
by: Bao, Weizhu, et al.
Published: (2003)

Average block nonlinear Kaczmarz methods with adaptive momentum for nonlinear systems of equations
by: Ding, Renjie, et al.
Published: (2026)

A new approximation method for solving stochastic differential equations
by: Mojarrad, Faezeh Nassajian
Published: (2024)

On maximum residual block Kaczmarz method for solving large consistent linear systems
by: Sun, Wen-Ning, et al.
Published: (2024)

Efficient high-resolution refinement in cryo-EM with stochastic gradient descent
by: Toader, Bogdan, et al.
Published: (2023)

LDG method for solving spatial and temporal fractional nonlinear convection-diffusion equations
by: Rajabzadeh, Majid, et al.
Published: (2026)

Numerical approximation of McKean-Vlasov SDEs via stochastic gradient descent
by: Agarwal, Ankush, et al.
Published: (2023)

Hanke-Raus heuristic rule for iteratively regularized stochastic gradient descent
by: Bajpai, Harshit, et al.
Published: (2024)

Development of numerical methods for nonlinear hybrid stochastic functional differential equations with infinite delay
by: Li, Guozhen, et al.
Published: (2025)

A simple-to-implement nonlinear preconditioning of Newton's method for solving the steady Navier-Stokes equations
by: Mohebujjaman, Muhammad, et al.
Published: (2025)

Learning rate adaptive stochastic gradient descent optimization methods: numerical simulations for deep learning methods for partial differential equations and convergence analyses
by: Dereich, Steffen, et al.
Published: (2024)

Diagonal and normal with Toeplitz-block splitting iteration method for space fractional coupled nonlinear Schrödinger equations with repulsive nonlinearities
by: Zhang, Fei-Yan, et al.
Published: (2023)

On global randomized block Kaczmarz algorithm for solving large-scale matrix equations
by: Niu, Yu-Qi, et al.
Published: (2022)

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

On adaptive stochastic extended iterative methods for solving least squares
by: Zeng, Yun, et al.
Published: (2024)

A meshless generalized finite difference method for solving the Stokes-Darcy coupled problem in static and moving systems
by: Xing, Yanan, et al.
Published: (2025)

A rational approximation method for solving acoustic nonlinear eigenvalue problems
by: El-Guide, Mohamed, et al.
Published: (2019)

A generalization of the relaxation-based matrix splitting iterative method for solving the system of generalized absolute value equations
by: Li, Xuehua, et al.
Published: (2023)

A fast block nonlinear Bregman-Kaczmarz method with averaging for nonlinear sparse signal recovery
by: Xiao, Aqin, et al.
Published: (2025)

A perturbed preconditioned gradient descent method for the unconstrained minimization of composite objectives
by: Park, Jea-Hyun, et al.
Published: (2025)

A space-time generalized finite difference method for solving the transient Stokes/Parabolic interface problem in the moving system
by: Xing, Yanan, et al.
Published: (2025)

Subspace gradient descent method for linear tensor equations
by: Iannacito, Martina, et al.
Published: (2026)

Riemannian gradient descent for spherical area-preserving mappings
by: Sutti, Marco, et al.
Published: (2024)

Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving
by: Rudikov, Alexander, et al.
Published: (2024)

Strong convergence of the adaptive Milstein method for nonlinear stochastic differential equations with piecewise continuous arguments
by: Zhang, Yuhang, et al.
Published: (2025)

HANN: Homotopy auxiliary neural network for solving nonlinear algebraic equations
by: Zai, Ling-Zhe, et al.
Published: (2025)

Convergence analysis of time-splitting projection method for nonlinear quasiperiodic Schrödinger equation
by: Jiang, Kai, et al.
Published: (2024)

Boundary neuron method for solving partial differential equations
by: Lin, Ye, et al.
Published: (2026)

Stochastic gradient descent based variational inference for infinite-dimensional inverse problems
by: Sui, Jiaming, et al.
Published: (2025)

Analysis on aggregation and block smoothers in multigrid methods for block Toeplitz linear systems
by: Bolten, Matthias, et al.
Published: (2024)

New preconditioner strategy for solving block four-by-four linear systems: An application to the saddle-point problem from 3D Stokes equation
by: Badahmane, Achraf, et al.
Published: (2024)

New approach method for solving nonlinear differential equations of blood flow with nanoparticle in presence of magnetic field
by: Pahnehkolaei, Seyed Morteza Hamzeh, et al.
Published: (2024)

Greedy randomized Bregman-Kaczmarz method for constrained nonlinear systems of equations
by: Xiao, Aqin, et al.
Published: (2024)

Factorized Krylov subspace methods for solving large Sylvester equations
by: Satake, Yuki, et al.
Published: (2026)

Accelerated Kaczmarz methods via randomized sketch techniques for solving consistent linear systems
by: Jiang, Haochen, et al.
Published: (2025)