Jongho Park

Orcid: 0000-0002-0496-649X

Affiliations:
  • KAIST, Daejeon, South Korea


According to our database1, Jongho Park authored at least 23 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Two-level overlapping Schwarz preconditioners with universal coarse spaces for 2mth-order elliptic problems.
CoRR, 2024

2023
An Optimized Dynamic Mode Decomposition Model Robust to Multiplicative Noise.
SIAM J. Appl. Dyn. Syst., March, 2023

Balanced Group Convolution: An Improved Group Convolution Based on Approximability Estimates.
CoRR, 2023

Additive Schwarz methods for semilinear elliptic problems with convex energy functionals: Convergence rate independent of nonlinearity.
CoRR, 2023

DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime.
CoRR, 2023

A numerically efficient output-only system-identification framework for stochastically forced self-sustained oscillators.
CoRR, 2023

Additive Schwarz methods for fourth-order variational inequalities.
CoRR, 2023

Preconditioning for finite element methods with strain smoothing.
Comput. Math. Appl., 2023

2022
Two-level group convolution.
Neural Networks, 2022

A neuron-wise subspace correction method for the finite neuron method.
CoRR, 2022

Additive Schwarz methods for convex optimization with backtracking.
Comput. Math. Appl., 2022

Fast gradient methods for uniformly convex and weakly smooth problems.
Adv. Comput. Math., 2022

2021
Accelerated Additive Schwarz Methods for Convex Optimization with Adaptive Restart.
J. Sci. Comput., 2021

Parareal Neural Networks Emulating a Parallel-in-time Algorithm.
CoRR, 2021

A variational framework for the strain-smoothed element method.
Comput. Math. Appl., 2021

2020
Additive Schwarz Methods for Convex Optimization as Gradient Methods.
SIAM J. Numer. Anal., 2020

Correction to: A dual iterative substructuring method with a small penalty parameter.
CoRR, 2020

An Overlapping Domain Decomposition Framework without Dual Formulation for Variational Imaging Problems.
CoRR, 2020

2019
A Finite Element Approach for the Dual Rudin-Osher-Fatemi Model and Its Nonoverlapping Domain Decomposition Methods.
SIAM J. Sci. Comput., 2019

Fast Nonoverlapping Block Jacobi Method for the Dual Rudin-Osher-Fatemi Model.
SIAM J. Imaging Sci., 2019

A Finite Element Nonoverlapping Domain Decomposition Method with Lagrange Multipliers for the Dual Total Variation Minimizations.
J. Sci. Comput., 2019

Domain Decomposition Methods Using Dual Conversion for the Total Variation Minimization with $$L^1$$ L 1 Fidelity Term.
J. Sci. Comput., 2019

Pseudo-linear Convergence of an Additive Schwarz Method for Dual Total Variation Minimization.
CoRR, 2019


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