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Matrix Equations and Model Reduction - Lecture 3

Offered By: Society for Industrial and Applied Mathematics via YouTube

Tags

Applied Mathematics Courses Linear Algebra Courses Algorithms Courses Numerical Analysis Courses

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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