演講公告

演講主題：A Multilevel Memory Efficient Spectral Indicator Method
主講人：孫繼廣教授(Mathematical Sciences, Michigan Technological University)
演講日期：2018年7月10日 14:00 - 15:00
演講地點：(光復校區) 科學一館223室
摘要內容：
Abstract. Recently a novel family of eigensolvers, called spectral indicator methods (SIMs), was proposed. Given regions of the complex plane, SIMs compute indicators and use them to detect eigenvalues. Regions that contain eigenvalues are subdivided and the procedure is repeated until eigenvalues are isolated with a specified precision. In this talk, by a special way of using Cayley transformation and Krylov subspaces, a memory efficient eigensolver for sparse eigenvalue problems is proposed. The method uses little memory and is particularly suitable for the computation of many eigenvalues of large problems. The eigensolver is implemented in Matlab and tested using various matrices.
相關檔案：Talk_20180710.pdf

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