Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm

arXiv:2410.11284v2 Announce Type: replace-cross Abstract: Motivated by recent progress in the problem of numerical K\"ahler metrics, we survey machine learning techniques in this area, discussing both advantages and drawbacks. We then revisit the algebraic ansatz pioneered by ...

🔗 Read more: https://arxiv.org/abs/2410.11284

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