Fundamentals of tensors (and beyond)

With the fast-growing data size nowadays, analysis on tensor data is more and more demanded. Interpretations and techniques with respect to tensor data have been investigated by many researchers and play an important role in areas including finance, economics, and medical science, etc. In this talk, an introduction on tensor data will be given, followed by a quick discussion on a rearrangement algorithm adapted in a tensor version. We will end with some existing works and possible works to be done.