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arXiv Machine Learning By Haixin Wang, Haoning Dang, Fei Wang, Shimin Guo

Domain-Decomposed Randomized Neural Networks for Partial Differential Equations in Unbounded Domains

Read the original on arXiv Machine Learning →

arXiv:2606. 31342v1 Announce Type: cross Abstract: Partial differential equations on unbounded domains are challenging because the exterior region must be represented without excessive truncation error.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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