Speaker:
Jiawang Nie
Institution:
UCSD
Time:
Monday, April 15, 2019 - 4:00pm to 5:00pm
Host:
Location:
RH 306
For symmetric tensors, there exist linear relations of recursive patterns among their entries. Such a relation can be represented by a polynomial, which is called a generating polynomial. A symmetric tensor decomposition can be determined by a set of generating polynomials, which can be represented by a generating matrix. Generally, a symmetric tensor decomposition can be determined by a generating matrix satisfying certain conditions. Based on them, an efficient method is given for computing symmetric tensor decompositions.