Accurate and robust predictions for model order reduction via an adaptive, hybrid fom/rom approach

HIGHLIGHTS

• What: The authors propose an adaptiveextended version of the hybrid approach to update the reduced-order model with new solution snapshots. The authors focus on ROMs based on POD in the o✏ine stage and on the least-squares Petrov-Galerkin (LSPG) projection equipped with the energy-conserving sampling and weighting (ECSW) hyper-reduction method in the online stage. The authors propose an approach based on the principal directions of the reduced-order residual and reducedorder Jacobian matrix to improve the performance of the ECSW method. The authors consider the approach described, which relies on the compressed . . .
  

   

  

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