Matrix Equations and Model Reduction - Lecture 3
Society for Industrial and Applied Mathematics via YouTube
Master AI and Machine Learning: From Neural Networks to Applications
NY State-Licensed Certificates in Design, Coding & AI — Online
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
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