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报告题目:

Some Numerical Issues Regarding Deep Neural Network Approximations for PDEs

报告人:

周涛 研究员(中科院数学与系统bet356体育在线育院)

报告时间:

报告地点:

腾讯会议ID:635-732-748

报告摘要:

Deep neural networks have been widely used for solving PDEs in recently years. In this talk, we shall discuss some numerical issues for such approaches. In particular, we shall present some recent ideas for dealing with essential boundary conditions, nonlocal operators and effective sampling strategies on unbounded domains.

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