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Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia.

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 28 Nov 2019Publisher:Zenodo
Authors: andreasvarga;

doi: 10.5281/zenodo.3826609 , 10.5281/zenodo.3556377 , 10.5281/zenodo.3556376 , 10.5281/zenodo.3556868

Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia.

Abstract

This is a collection of Julia functions which implement high performance numerical algorithms to solve classes of Lyapunov, Sylvester and Riccati matrix equations.

This version provides new functionality for Riccati solvers to compute anti-stabilizing solutions.

Keywords

Sylvester equation, matrix equations, sylvester operators, riccati equations, lyapunov operators, condition estimation, lyapunov equations, Lyapunov equation, sylvester equations, control systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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