P-PMOR-C and P-PMOR-K methods

Version 1.0.0 (2.59 KB) by Zhen Li
Two parallel model order reduction methods based on structured matrix analysis for discrete-time systems with parametric uncertainty
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Updated 2 Jan 2023

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P-PMOR-C method is a parallel parametric model order reduction method based on the shift-transformation matrix of Charlier polynomials and the equivalent transformation of block bi-diagonal matrices for discrete-time parametric systems.
P-PMOR-K method is a parallel parametric model order reduction method based on the shift-transformation matrix of Krawtchouk polynomials and the block DFT of block $\epsilon$-circulant matrices for discrete-time parametric systems.
These two methods have been submitted to Journal of Computational and Applied Mathematics.

Cite As

Zhen Li (2025). P-PMOR-C and P-PMOR-K methods (https://se.mathworks.com/matlabcentral/fileexchange/122787-p-pmor-c-and-p-pmor-k-methods), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2022b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0