Additive Schwarz methods for semilinear elliptic problems with convex energy functionals: Convergence rate independent of nonlinearity

J Park - SIAM Journal on Scientific Computing, 2024 - SIAM
We investigate additive Schwarz methods for semilinear elliptic problems with convex
energy functionals, which have wide scientific applications. A key observation is that the …

On the linear convergence of additive Schwarz methods for the p-Laplacian

YJ Lee, J Park - IMA Journal of Numerical Analysis, 2024 - academic.oup.com
We consider additive Schwarz methods for boundary value problems involving the-
Laplacian. While existing theoretical estimates suggest a sublinear convergence rate for …

Additive Schwarz methods for fourth-order variational inequalities

J Park - Journal of Scientific Computing, 2024 - Springer
Fourth-order variational inequalities are encountered in various scientific and engineering
disciplines, including elliptic optimal control problems and plate obstacle problems. In this …

Fast Non-overlapping Domain Decomposition Methods for Continuous Multi-phase Labeling Problem

Z Zhang, H Chang, Y Duan - Journal of Scientific Computing, 2023 - Springer
This paper presents the domain decomposition methods (DDMs) for achieving fast parallel
computing on multi-core computers when dealing with the multi-phase labeling problem. To …

Subspace correction methods for semicoercive and nearly semicoercive convex optimization with applications to nonlinear PDEs

YJ Lee, J Park - arXiv preprint arXiv:2412.17318, 2024 - arxiv.org
We present new convergence analyses for subspace correction methods for semicoercive
and nearly semicoercive convex optimization problems, generalizing the theory of singular …

An improved convergence analysis of additive Schwarz methods for the -Laplacian

YJ Lee, J Park - arXiv preprint arXiv:2210.09183, 2022 - arxiv.org
We consider additive Schwarz methods for boundary value problems involving the $ p $-
Laplacian. Although the existing theoretical estimates indicate a sublinear convergence rate …

ON THE CONVERGENCE OF BROADCAST INCREMENTAL ALGORITHMS WITH APPLICATIONS.

L LIU, A PETRUŞSEL, X QIN… - Fixed Point …, 2024 - search.ebscohost.com
We consider a convex constrained optimization problem composed in part of finding fixed
points of nonexpansive mappings and in part of solving a minimization problem. Two …

A neuron-wise subspace correction method for the finite neuron method

J Park, J Xu, X Xu - arXiv preprint arXiv:2211.12031, 2022 - arxiv.org
In this paper, we propose a novel algorithm called Neuron-wise Parallel Subspace
Correction Method (NPSC) for the finite neuron method that approximates numerical …

A Subspace Correction Method for ReLU Neural Networks for Solving PDEs

J Park, J Xu, X Xu - openreview.net
In this paper, we propose a novel algorithm called Neuron-wise Parallel Subspace
Correction Method (NPSC) for training ReLU neural networks for numerical solution of …