BKS

The codes in the packages SymKrylovSchur and NonSymKrylovSchur are written in Matlab using the Tensor toolbox (not given here) and algorithms for solving small and medium-size best low-rank tensor approximations from A Newton--Grassmann method for computing the Best Multi-Linear Rank-(r₁,r₂,r₃) Approximation of a Tensor, SIMAX 2009. The packages grassClasses and tensorAlgs are small modifications of the two corresponding packages developed by Berkant Savas, see his web page.

The codes are distributed under a 3-Clause BSD License, see below.

February 10, 2021

addpath.m Suggested paths for the different directories.
TestBKS.m Simple test code.
InitTestBKS.m Initialization for the simple test code.
grassClasses.tar Object-oriented code for Grassmann features used by the codes in tensorAlgs.
tensorAlgs.tar Algorithms for small and medium-size tensor problems.
SymKrylovSchur.tar Algorithms for best low-rank approximation of large and sparse (1,2)-symmetric tensors.
NonSymKrylovSchur.tar Algorithms for best low-rank approximation of large and sparse non-symmetric tensors.

Matlab codes for Block Krylov-Schur like algorithms for