演講公告

新聞標題：　( 2020-07-23 )

• 演講主題：Large-Scale Matrix Computations for Data Science

• 主講人：黃聰明教授 (台灣師範大學數學系)

• 演講日期：07/27(一)起

• 演講地點：SA223

• 摘要內容：
  

  日期:07/27,08/03,08/05,08/10,08/12,08/17,08/19,08/24
  時間:13:30-15:00
  Graph Laplacian Eigenvalue Problems (GLEP) appear in many areas, such as spectral clustering, image segmentation, dimensionality reduction, data representation, and complex networks. Computing some smallest positive eigenvalues and the associated eigenvectors of GLEP is a fundamental problem in applications. In this short course, we will introduce how to use the Lanczosmethod and the shift-invert residual Arnoldimethod with a preconditioning conjugate gradient method to compute the target eigenpairsefficiently.

• 相關檔案：Talk_20200727.pdf

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