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学术报告(三)

办公室 2019-12-31 18:13

 

题 目:The computation for low multilinear rank approximations of tensors via power scheme and random projection

报告人:车茂林  博士  (西南财经大学)

时  间:141020-1100

地  点:数信红楼302会议室

 

摘要:This work is devoted to the computation of low multilinear rank approximations of tensors. Combining the stretegy of power scheme, random projection and well known matrix decompositions (rank-revealing QR and rank-revealing LU), we derive two three-stage randomized algorithms for the low multilinear rank approximation. Based on the singular values of sub-Gaussian matrices, we derive the error bounds for each algorithm with high probability. We illustrate the proposed algorithms via several numerical examples.

 

报告人简介:车茂林博士,2012年在内江师范学院获得理学学士学位,2017年于复旦大学获得理学博士学位,现就职于西南财经大学经济数学学院.已在国内外学术期刊上发表数篇学术论文.现阶段主要研究兴趣包括神经网络、矩阵和张量低秩逼近的随机算法等.