Pages that link to "Item:Q4447065"
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The following pages link to SOME EXPERIMENTS WITH STABILITY ANALYSIS OF DISCRETE INCOMPRESSIBLE FLOWS IN THE LID-DRIVEN CAVITY (Q4447065):
Displaying 18 items.
- Uncertainty quantification in computational fluid dynamics (Q354251) (← links)
- On the propagation of statistical model parameter uncertainty in CFD calculations (Q400483) (← links)
- A stochastic surrogate model approach applied to calibration of unstable fluid flow experiments (Q412608) (← links)
- Non intrusive iterative stochastic spectral representation with application to compressible gas dynamics (Q417898) (← links)
- Robust optimization of dense gas flows under uncertain operating conditions (Q448084) (← links)
- Effects of base flow uncertainty on Couette flow stability (Q543873) (← links)
- Predictability and uncertainty in flow--structure interactions (Q597675) (← links)
- A stabilized stochastic finite element second-order projection method for modeling natural convection in random porous media (Q942286) (← links)
- Quantitative relative comparison of CFD simulation uncertainties for a transonic diffuser problem (Q1043116) (← links)
- The issue of numerical uncertainty (Q1614176) (← links)
- Error analysis of generalized polynomial chaos for nonlinear random ordinary differential equations (Q1760127) (← links)
- A dynamic bi-orthogonal field equation approach to efficient Bayesian inversion (Q2011888) (← links)
- Modeling multibody systems with uncertainties. I: Theoretical and computational aspects (Q2433228) (← links)
- An analysis of polynomial chaos approximations for modeling single-fluid-phase flow in porous medium systems (Q2458616) (← links)
- Stochastic finite element methods for partial differential equations with random input data (Q4683917) (← links)
- (Q4700268) (← links)
- Iterative Polynomial Approximation Adapting to Arbitrary Probability Distribution (Q5261599) (← links)
- Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees) (Q6187668) (← links)
