Matrix Equations and Model Reduction - Lecture 3
Offered By: Society for Industrial and Applied Mathematics via YouTube
Course Description
Overview
Explore matrix equations and model reduction techniques in this comprehensive lecture by Peter Benner from the Max Planck Institute. Delve into topics such as base enrichment, polar residual form, transfer functions, and moment matching. Gain insights into algorithmic details and practical applications of model reduction in industrial and applied mathematics.
Syllabus
Intro
Example
Base Enrichment
Model Reduction
Polar Residual Form
Transfer Function
Algorithmic Details
Moment Matching
Taught by
Society for Industrial and Applied Mathematics
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