Symmetric Tensor Decompositions or Low Rank Approximations

by Jiawang Nie

Purposes of the Code

The code is for computing symmetric tensor decompositions or low rank approximations. It is based on the methods in the following papers:
  • Jiawang Nie, Generating polynomials and symmetric tensor decompositions,
    Foundations of Computational Mathematics 17 (2), 423-465.
  • Jiawang Nie, Low rank symmetric tensor approximations,
    SIAM Journal on Matrix Analysis and Applications 38 (4), 1517-1540.

    • Installation

    Download the Matlab function GPSTDAPRX.m and save it in the directory where you like to run the code.

    How to use the code?

    The instruction for using the code is in the top of the function. One can type help GPSTDAPRX.m to get the instruction.

    If there is any bug about the code, please contact the author by email: njw@math onedot ucsd onedot edu