Jongho Park

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 29

Top Topics

Total Variation Minimization

Decomposition Methods

Finite Element Methods

Energy Functional

Top Venues

Comput. Math. Appl.

J. Sci. Comput.

SIAM J. Sci. Comput.

Publications

Youngkyu Lee, Jongho Park, Chang-Ock Lee
Parareal Neural Networks Emulating a Parallel-in-Time Algorithm. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Jongho Park
Two-level overlapping Schwarz preconditioners with universal coarse spaces for 2mth-order elliptic problems. CoRR (2024)
Jongho Park
Additive Schwarz Methods for Semilinear Elliptic Problems with Convex Energy Functionals: Convergence Rate Independent of Nonlinearity. SIAM J. Sci. Comput. 46 (3) (2024)
Jongho Park, Jinchao Xu, Xiaofeng Xu
Randomized greedy algorithms for neural network optimization. CoRR (2024)
Jongho Park, Jinchao Xu
DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime. CoRR (2023)
Jongho Park
Additive Schwarz methods for fourth-order variational inequalities. CoRR (2023)
Chaemin Lee, Jongho Park
Preconditioning for finite element methods with strain smoothing. Comput. Math. Appl. 130 (2023)
Youngkyu Lee, Jongho Park, Chang-Ock Lee
Balanced Group Convolution: An Improved Group Convolution Based on Approximability Estimates. CoRR (2023)
Jongho Park, Jinchao Xu, Xiaofeng Xu
A neuron-wise subspace correction method for the finite neuron method. CoRR (2022)
Jongho Park
Additive Schwarz methods for convex optimization with backtracking. Comput. Math. Appl. 113 (2022)
Youngkyu Lee, Jongho Park, Chang-Ock Lee
Two-level group convolution. Neural Networks 154 (2022)
Jongho Park
Fast gradient methods for uniformly convex and weakly smooth problems. Adv. Comput. Math. 48 (3) (2022)
Chaemin Lee, Jongho Park
Preconditioning for finite element methods with strain smoothing. CoRR (2021)
Youngkyu Lee, Jongho Park, Chang-Ock Lee
Two-level Group Convolution. CoRR (2021)
Jongho Park
Accelerated Additive Schwarz Methods for Convex Optimization with Adaptive Restart. J. Sci. Comput. 89 (3) (2021)
Chaemin Lee, Jongho Park
A variational framework for the strain-smoothed element method. Comput. Math. Appl. 94 (2021)
Chang-Ock Lee, Youngkyu Lee, Jongho Park
Parareal Neural Networks Emulating a Parallel-in-time Algorithm. CoRR (2021)
Jongho Park
Additive Schwarz Methods for Convex Optimization as Gradient Methods. SIAM J. Numer. Anal. 58 (3) (2020)
Chaemin Lee, Jongho Park
A variational framework for the strain-smoothed element method. CoRR (2020)
Jongho Park
An Overlapping Domain Decomposition Framework without Dual Formulation for Variational Imaging Problems. CoRR (2020)
Jongho Park
Accelerated Additive Schwarz Methods for Convex Optimization with Adaptive Restart. CoRR (2020)
Chang-Ock Lee, Eun-Hee Park, Jongho Park
Correction to: A dual iterative substructuring method with a small penalty parameter. CoRR (2020)
Jongho Park
Additive Schwarz Methods for Convex Optimization as Gradient Methods. CoRR (2019)
Jongho Park
Pseudo-linear Convergence of an Additive Schwarz Method for Dual Total Variation Minimization. CoRR (2019)
Chang-Ock Lee, Jongho Park
A Finite Element Nonoverlapping Domain Decomposition Method with Lagrange Multipliers for the Dual Total Variation Minimizations. J. Sci. Comput. 81 (3) (2019)
Chang-Ock Lee, Jongho Park
Fast Nonoverlapping Block Jacobi Method for the Dual Rudin-Osher-Fatemi Model. CoRR (2019)
Chang-Ock Lee, Eun-Hee Park, Jongho Park
A Finite Element Approach for the Dual Rudin-Osher-Fatemi Model and Its Nonoverlapping Domain Decomposition Methods. SIAM J. Sci. Comput. 41 (2) (2019)
Chang-Ock Lee, Changmin Nam, Jongho Park
Domain Decomposition Methods Using Dual Conversion for the Total Variation Minimization with $$L^1$$ L 1 Fidelity Term. J. Sci. Comput. 78 (2) (2019)
Chang-Ock Lee, Jongho Park
Fast Nonoverlapping Block Jacobi Method for the Dual Rudin-Osher-Fatemi Model. SIAM J. Imaging Sci. 12 (4) (2019)