Presentation Name: | 午间学术报告会(一百二十九):Coordinate-wise descent methods for leading eigenvalue problem |
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Presenter: | 李颖洲 青年研究员 |
Date: | 2021-03-12 |
Location: | 光华东主楼2201 |
Abstract: | Leading eigenvalue problems for large scale matrices arise in many applications. Coordinate-wise descent methods are considered in this talk for such problems based on a reformulation of the leading eigenvalue problem as a nonconvex optimization problem. The convergence of several coordinate-wise methods, including a randomized coordinate-wise method, is analyzed and compared. Numerical examples of applications to quantum many-body problems demonstrate the efficiency and provide benchmarks of the proposed coordinate-wise descent methods. |
Annual Speech Directory: | No.35 |
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