论文标题
识别等效的卡拉比 - YAU拓扑：机器学习的数学和物理学的离散挑战
Identifying equivalent Calabi--Yau topologies: A discrete challenge from math and physics for machine learning
论文作者
论文摘要
我们简要回顾了卡拉比（Calabi-Yau）三倍的特征性拓扑数据，并着重于何时通过相关拓扑数据等效两个三倍的问题。这为离散数学问题的机器学习方法提供了一个有趣的测试案例。
We review briefly the characteristic topological data of Calabi--Yau threefolds and focus on the question of when two threefolds are equivalent through related topological data. This provides an interesting test case for machine learning methodology in discrete mathematics problems motivated by physics.
