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Diancong Jin

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Articles by Diancong Jin

Mathematics > Numerical Analysis

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By Diancong Jin, Derui Sheng, Huagui Liu
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Mathematics > Numerical Analysis

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By Diancong Jin, Qijiao Yin
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Mathematics > Numerical Analysis

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By Xingyu Liu, Diancong Jin, Liying Sun
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Mathematics > Numerical Analysis

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By Baiping Zhang, Diancong Jin
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2602.09854] Asymptotic error distribution for tamed Euler method with coupled monotonicity condition

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By Diancong Jin, Jiaoyang Xu
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2511.05251] Asymptotic error distribution of numerical methods for parabolic SPDEs with multiplicative noise

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By Diancong Jin, Xu Wang
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2409.13827] Asymptotic error distribution of accelerated exponential Euler method for parabolic SPDEs

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By Diancong Jin, Xu Wang, Guanlin Yang
| arXiv
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Density functions for the overdamped generalized Langevin equation and its Euler--Maruyama method: smoothness and convergence

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By Diancong Jin
| arXiv
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[2203.00571] Density convergence of a fully discrete finite difference method for stochastic Cahn--Hilliard equation

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By Derui Sheng, Diancong Jin
| arXiv
arXiv:2203.00571 (math) [Submitted on 1 Mar 2022 (v1), last revised 17 Aug 2023 (this version, v2)] Download PDF Subjects: Numerical Analysis (math.NA) Cite as: arXiv:2203.00571 [math.NA] (or arXiv:2203.00571v2 [math.NA] for this version) https://doi.org/10.48550/arXiv.2203.00571 Submission history From: Derui Sheng [ view email] [v1] Tue, 1 Mar 2022 15:49:19 UTC (24 KB) [v2] Thu, 17 Aug 2023 07:35:57 UTC (44 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer ()...
Open in Who Shared View Duplicates (49) Issue with article?

[2102.04061] Convergence analysis for minimum action methods coupled with a finite difference method

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By Diancong Jin, Derui Sheng
| arXiv
arXiv:2102.04061 (math) [Submitted on 8 Feb 2021 (v1), last revised 30 Aug 2023 (this version, v2)] Download PDF Subjects: Probability (math.PR); Numerical Analysis (math.NA) Cite as: arXiv:2102.04061 [math.PR] (or arXiv:2102.04061v2 [math.PR] for this version) https://doi.org/10.48550/arXiv.2102.04061 Submission history From: Diancong Jin [ view email] [v1] Mon, 8 Feb 2021 08:44:21 UTC (20 KB) [v2] Wed, 30 Aug 2023 13:35:17 UTC (19 KB) Bibliographic Tools Bibliographic Explorer Toggle...
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