Uncertainty quantification for numerical solutions of the nonlinear partial differential equations by using the multi-fidelity monte carlo method

HIGHLIGHTS

• who: Wenting Du and Jin Su from the (UNIVERSITY) have published the Article: Uncertainty Quantification for Numerical Solutions of the Nonlinear Partial Differential Equations by Using the Multi-Fidelity Monte Carlo Method, in the Journal: (JOURNAL)
• what: The authors aim to extend the application of MFMC to the field of nonlinear partial differential equations, such as the nonlinear Schrodinger (NLS) equation and Burges' equation, using some of the latest data-driven low-fidelity models, to improve the computational efficiency. For Burgers' equation, the authors attempt to construct another kind of the low-fidelity model by . . .
  

   

  

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