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Jongho Park 0002
Person information
- unicode name: 박종호
- unicode name: 朴鐘浩
- affiliation: KAIST, Daejeon, South Korea
Other persons with the same name
- Jongho Park — disambiguation page
- Jongho Park 0001 — Sungkyunkwan University, Suwon, South Korea
- Jongho Park 0003 — Ajou University, Department of Military Digital Convergence / Department of AI Convergence Network, Suwon, South Korea (and 1 more)
- Jongho Park 0004 — University of Wisconsin-Madison, Madison, WI, USA
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2020 – today
- 2024
- [j14]Jongho Park:
Additive Schwarz Methods for Semilinear Elliptic Problems with Convex Energy Functionals: Convergence Rate Independent of Nonlinearity. SIAM J. Sci. Comput. 46(3): 1373- (2024) - [j13]Youngkyu Lee, Jongho Park, Chang-Ock Lee:
Parareal Neural Networks Emulating a Parallel-in-Time Algorithm. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6353-6364 (2024) - [i18]Jongho Park:
Two-level overlapping Schwarz preconditioners with universal coarse spaces for 2mth-order elliptic problems. CoRR abs/2403.18970 (2024) - [i17]Jongho Park, Jinchao Xu, Xiaofeng Xu:
Randomized greedy algorithms for neural network optimization. CoRR abs/2407.17763 (2024) - 2023
- [j12]Chaemin Lee, Jongho Park:
Preconditioning for finite element methods with strain smoothing. Comput. Math. Appl. 130: 41-57 (2023) - [j11]Minwoo Lee, Jongho Park:
An Optimized Dynamic Mode Decomposition Model Robust to Multiplicative Noise. SIAM J. Appl. Dyn. Syst. 22(1): 235-268 (2023) - [i16]Jongho Park:
Additive Schwarz methods for fourth-order variational inequalities. CoRR abs/2301.07260 (2023) - [i15]Minwoo Lee, Kyu-Tae Kim, Jongho Park:
A numerically efficient output-only system-identification framework for stochastically forced self-sustained oscillators. CoRR abs/2305.02801 (2023) - [i14]Jongho Park, Jinchao Xu:
DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime. CoRR abs/2305.10294 (2023) - [i13]Jongho Park:
Additive Schwarz methods for semilinear elliptic problems with convex energy functionals: Convergence rate independent of nonlinearity. CoRR abs/2308.09997 (2023) - [i12]Youngkyu Lee, Jongho Park, Chang-Ock Lee:
Balanced Group Convolution: An Improved Group Convolution Based on Approximability Estimates. CoRR abs/2310.12461 (2023) - 2022
- [j10]Jongho Park:
Fast gradient methods for uniformly convex and weakly smooth problems. Adv. Comput. Math. 48(3): 34 (2022) - [j9]Jongho Park:
Additive Schwarz methods for convex optimization with backtracking. Comput. Math. Appl. 113: 332-344 (2022) - [j8]Youngkyu Lee, Jongho Park, Chang-Ock Lee:
Two-level group convolution. Neural Networks 154: 323-332 (2022) - [i11]Jongho Park, Jinchao Xu, Xiaofeng Xu:
A neuron-wise subspace correction method for the finite neuron method. CoRR abs/2211.12031 (2022) - 2021
- [j7]Chaemin Lee, Jongho Park:
A variational framework for the strain-smoothed element method. Comput. Math. Appl. 94: 76-93 (2021) - [j6]Jongho Park:
Accelerated Additive Schwarz Methods for Convex Optimization with Adaptive Restart. J. Sci. Comput. 89(3): 58 (2021) - [i10]Chang-Ock Lee, Youngkyu Lee, Jongho Park:
Parareal Neural Networks Emulating a Parallel-in-time Algorithm. CoRR abs/2103.08802 (2021) - [i9]Chaemin Lee, Jongho Park:
Preconditioning for finite element methods with strain smoothing. CoRR abs/2109.12525 (2021) - [i8]Youngkyu Lee, Jongho Park, Chang-Ock Lee:
Two-level Group Convolution. CoRR abs/2110.05060 (2021) - 2020
- [j5]Jongho Park:
Additive Schwarz Methods for Convex Optimization as Gradient Methods. SIAM J. Numer. Anal. 58(3): 1495-1530 (2020) - [i7]Jongho Park:
An Overlapping Domain Decomposition Framework without Dual Formulation for Variational Imaging Problems. CoRR abs/2002.10070 (2020) - [i6]Chaemin Lee, Jongho Park:
A variational framework for the strain-smoothed element method. CoRR abs/2009.00819 (2020) - [i5]Chang-Ock Lee, Eun-Hee Park, Jongho Park:
Correction to: A dual iterative substructuring method with a small penalty parameter. CoRR abs/2009.08725 (2020) - [i4]Jongho Park:
Accelerated Additive Schwarz Methods for Convex Optimization with Adaptive Restart. CoRR abs/2011.02695 (2020)
2010 – 2019
- 2019
- [j4]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): 951-970 (2019) - [j3]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): 2331-2355 (2019) - [j2]Chang-Ock Lee, Jongho Park:
Fast Nonoverlapping Block Jacobi Method for the Dual Rudin-Osher-Fatemi Model. SIAM J. Imaging Sci. 12(4): 2009-2034 (2019) - [j1]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): B205-B228 (2019) - [i3]Chang-Ock Lee, Jongho Park:
Fast Nonoverlapping Block Jacobi Method for the Dual Rudin-Osher-Fatemi Model. CoRR abs/1908.01327 (2019) - [i2]Jongho Park:
Pseudo-linear Convergence of an Additive Schwarz Method for Dual Total Variation Minimization. CoRR abs/1911.06639 (2019) - [i1]Jongho Park:
Additive Schwarz Methods for Convex Optimization as Gradient Methods. CoRR abs/1912.03617 (2019)
Coauthor Index
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last updated on 2024-10-16 21:28 CEST by the dblp team
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