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arXiv Machine Learning By Jashwanth Reddy Kadaru, Vaishnavi Gujjula

A fast direct solver based neural network for solving PDEs

Read the original on arXiv Machine Learning →

arXiv:2606. 19895v1 Announce Type: cross Abstract: The matrices arising from large scale $N$-body problems can be efficiently represented using hierarchical matrices, whose key idea is that the admissible off-diagonal sub-matrices can be well approximated by low-rank matrices across a hierarchy of matrix partitions.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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