> funm_quad

Efficient and stable Arnoldi restarts for
matrix functions based on quadrature

About

This Matlab code implements a quadrature-based restarted Krylov method FUNM_QUAD for the efficient and stable approximation of f(A)b, where A is a square, large and sparse matrix, f is a matrix function (such that f(A) is defined) and b is a vector.

The algorithm is described and analysed in

A. Frommer, S. Güttel, and M. Schweitzer:
Efficient and stable Arnoldi restarts for matrix functions based on quadrature,
SIAM Journal on Matrix Analysis and Applications, 35(2):661--683, 2014.


A. Frommer, S. Güttel, and M. Schweitzer:
Convergence of restarted Krylov subspace methods for Stieltjes functions of matrices,
SIAM Journal on Matrix Analysis and Applications, 35(4):1602--1624, 2014.


M. Schweitzer:
Restarting and error estimation in polynomial and extended Krylov subspace methods for the approximation of matrix functions,
Dissertation, Bergische Universität Wuppertal, Fakultät für Mathematik und Naturwissenschaften, 2016.



The basic calling sequence of FUNM_QUAD is
[f,out] = funm_quad(A,b,param)

This Matlab code is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. It is a research code and the authors are grateful for any constructive comments. Please refer to the above paper when using this code.

Download

Download the latest version of FUNM_QUAD here:
Download FUNM_QUAD with documentation and demos
(about 4 MB, version 2015-03)
To use FUNM_QUAD extract the zip-archive on your computer and change to the directory funm_quad_2015-03 in Matlab. This directory also contains a PDF file with a short overview of FUNM_QUAD, and you may also want to run the demo files to see how it works.

Version history