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A data-driven surrogate modeling approach for time-dependent incompressible Navier-Stokes equations with dynamic mode decomposition and manifold interpolation.

Martin W. HessAnnalisa QuainiGianluigi Rozza
Published in: Adv. Comput. Math. (2023)
Keyphrases
  • data driven
  • navier stokes equations
  • model driven
  • dynamic environments
  • modeling method
  • linear interpolation
  • bayesian networks
  • deformable models
  • decomposition algorithm