Introduction

Welcome to the modred project!

This is an easy-to-use and parallelized library for computing modal decompositions and reduced-order models.

Parallel implementations of the proper orthogonal decomposition (POD), balanced POD (BPOD), dynamic mode decomposition (DMD), and Petrov-Galerkin projection are provided, as well as serial implementations of the Observer Kalman filter Identification method (OKID) and the Eigensystem Realization Algorithm (ERA). modred is applicable to a wide range of problems and to nearly any type of data.

For smaller and simpler datasets, there is a Matlab-like interface. For larger and more complicated datasets, you can provide modred with classes and functions to interact with your data.

This work was supported by grants from the the National Science Foundation (NSF) and the Air Force Office of Scientific Research (AFOSR).