Pages that link to "Item:Q3174281"
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The following pages link to The estimation of functional uncertainty using polynomial chaos and adjoint equations (Q3174281):
Displaying 15 items.
- Direct numerical simulation of deformable droplets motion with uncertain physical properties in macro and micro channels (Q1648384) (← links)
- Bi-fidelity reduced polynomial chaos expansion for uncertainty quantification (Q2115584) (← links)
- Feasibility of DEIM for retrieving the initial field via dimensionality reduction (Q2120024) (← links)
- Intrusive acceleration strategies for uncertainty quantification for hyperbolic systems of conservation laws (Q2125463) (← links)
- CFD-based shape optimization under uncertainties using the adjoint-assisted polynomial chaos expansion and projected derivatives (Q2158125) (← links)
- Multiscale uncertainty quantification with arbitrary polynomial chaos (Q2179186) (← links)
- On the use of derivatives in the polynomial chaos based global sensitivity and uncertainty analysis applied to the distributed parameter models (Q2214566) (← links)
- Intrusive generalized polynomial chaos with asynchronous time integration for the solution of the unsteady Navier-Stokes equations (Q2245366) (← links)
- Compressive Hermite interpolation: sparse, high-dimensional approximation from gradient-augmented measurements (Q2311914) (← links)
- On polynomial chaos expansion via gradient-enhanced \(\ell_1\)-minimization (Q2375016) (← links)
- A gradient enhanced \(\ell_{1}\)-minimization for sparse approximation of polynomial chaos expansions (Q2424501) (← links)
- A Gradient-Enhanced L1 Approach for the Recovery of Sparse Trigonometric Polynomials (Q5160076) (← links)
- Adjoint Error Estimation for Stochastic Collocation Methods (Q5254900) (← links)
- Sensitivity-enhanced generalized polynomial chaos for efficient uncertainty quantification (Q6095126) (← links)
- Multivariate predictions of local reduced-order-model errors and dimensions (Q6565197) (← links)
