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发表时间:2021-03-12 阅读次数:60次
报告题目: 午间学术报告会(一百二十九):Coordinate-wise descent methods for leading eigenvalue problem
报 告 人:李颖洲 青年研究员
报告人所在单位:亚投彩票网站app
报告日期:2021-03-12 星期五
报告时间:12:00-13:00
报告地点:光华东主楼2201
  
报告摘要:

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.

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