Pages that link to "Item:Q2842452"
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The following pages link to Uncertainty quantification for data assimilation in a steady incompressible Navier-Stokes problem (Q2842452):
Displaying 11 items.
- Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: a data-driven, physics-informed Bayesian approach (Q525932) (← links)
- A variational data assimilation procedure for the incompressible Navier-Stokes equations in hemodynamics (Q1930404) (← links)
- Approach for uncertainty of turbulence modeling based on data assimilation technique (Q2015965) (← links)
- 3D modeling of generalized Newtonian fluid flow with data assimilation using the least-squares finite element method (Q2138702) (← links)
- Geometric multiscale modeling of the cardiovascular system, between theory and practice (Q2417571) (← links)
- Data Assimilation in Cardiovascular Fluid–Structure Interaction Problems: An Introduction (Q2946191) (← links)
- Estimation of cardiac conductivities in ventricular tissue by a variational approach (Q3458211) (← links)
- (Q3606800) (← links)
- Boundary Control Problems in Hemodynamics (Q4556921) (← links)
- The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applications (Q4594245) (← links)
- Data assimilation finite element method for the linearized Navier–Stokes equations in the low Reynolds regime (Q5117391) (← links)
