Published January 4, 2026 | Version 1.1

Code, Data, and Results for Numerical Experiments in "Data-driven balanced truncation for second-order systems with generalized proportional damping"

  • 1. ROR icon Courant Institute of Mathematical Sciences
  • 2. ROR icon New York University
  • 3. ROR icon Virginia Tech

Description

This archive contains the companion codes, data, and computed results for the paper:
  • S. Reiter, S. W. R. Werner; "Data-driven balanced truncation for second-order systems with generalized proportional damping"
which implement numerical experiments using intrusive and data-driven (non-intrusive) methods for the structured and unstructured surrogate modeling of second-order linear dynamical systems.

Files

supReiW26.zip

Files (177.7 MB)

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Additional details

Dates

Created
2025-01-04

Software

Programming language
MATLAB