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The JSR toolbox

version 1.21 (321 KB) by Raphael Jungers
Gathers and compares the best methods for the joint spectral radius computation

4 Downloads

Updated 22 Mar 2016

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The Joint Spectral Radius of a set of matrices characterizes the maximal asymptotic rate of growth of a product of matrices taken in this set, when the
length of the product increases.
It is known to be very hard to compute. In recent years, many different methods have been proposed to approximate it.
These methods have different advantages, depending on the application considered, the type of matrices considered, the desired accuracy or running time, etc.
The goal of this toolbox is to provide the practioner with the best available methods, and propose an easy tool for the researcher to compare the different methods.
This is version 1.2. Please report any bug, comment or suggestion to jsr.louvain@gmail.com

Cite As

Raphael Jungers (2020). The JSR toolbox (https://www.mathworks.com/matlabcentral/fileexchange/33202-the-jsr-toolbox), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (2)

tommsch

In jointTriangul, the return value for block in the 1d case should be {M}, instead of M, in order to have the same output format as for the higher-dimensional case, i.e.

if n==1
triang=0;
blocks={M};
B = 1;
return;
end

Antonio Cicone

MATLAB Release Compatibility
Created with R2011a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired: The CSSystem toolbox

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