Scimor

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Reduce model complexity for faster simulation

Based on methods of variable separation

In this first version, the model order reduction is performed through the separation of space (x) and time (t), thanks to the so called method of “Proper Orthogonal Decomposition”. This leverages the matrix computation capabilities of Scilab, such as Singular Value Decomposition

pod-formula

pod-space

pod-time

pod-full

Documentation

Features V1.0

  • Proper Orthogonal Decomposition
  • Mesh/simulation data import
  • Visualization
  • Steady/Unsteady cases
  • 1D/2D/3D cases
  • Geometry changes with constant topology
  • Classical/Snapshot methods
  • Multiparametric prediction