Pages that link to "Item:Q733023"
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The following pages link to A domain adaptive stochastic collocation approach for analysis of MEMS under uncertainties (Q733023):
Displaying 28 items.
- Subcell resolution in simplex stochastic collocation for spatial discontinuities (Q347912) (← links)
- Improved statistical models for limited datasets in uncertainty quantification using stochastic collocation (Q348261) (← links)
- A one-time truncate and encode multiresolution stochastic framework (Q348421) (← links)
- Minimal multi-element stochastic collocation for uncertainty quantification of discontinuous functions (Q401605) (← links)
- Uncertainty quantification of MEMS using a data-dependent adaptive stochastic collocation method (Q660314) (← links)
- Stochastic modeling of coupled electromechanical interaction for uncertainty quantification in electrostatically actuated MEMS (Q995302) (← links)
- Basis adaptation and domain decomposition for steady-state partial differential equations with random coefficients (Q1684992) (← links)
- Multi-fidelity stochastic collocation method for computation of statistical moments (Q1686595) (← links)
- Flow-driven spectral chaos (FSC) method for long-time integration of second-order stochastic dynamical systems (Q2043180) (← links)
- Flow-driven spectral chaos (FSC) method for simulating long-time dynamics of arbitrary-order non-linear stochastic dynamical systems (Q2124875) (← links)
- An adaptive hp-version stochastic Galerkin method for constrained optimal control problem governed by random reaction diffusion equations (Q2125889) (← links)
- Multi-element flow-driven spectral chaos (ME-FSC) method for uncertainty quantification of dynamical systems (Q2162015) (← links)
- A generalized multi-resolution expansion for uncertainty propagation with application to cardiovascular modeling (Q2310367) (← links)
- Weighted discrete least-squares polynomial approximation using randomized quadratures (Q2374682) (← links)
- Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs (Q2375274) (← links)
- A gradient enhanced \(\ell_{1}\)-minimization for sparse approximation of polynomial chaos expansions (Q2424501) (← links)
- Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis (Q2425303) (← links)
- A stochastic computational multiscale approach; application to MEMS resonators (Q2632978) (← links)
- Essentially Non-oscillatory Stencil Selection and Subcell Resolution in Uncertainty Quantification (Q2864849) (← links)
- Stochastic Collocation Methods via $\ell_1$ Minimization Using Randomized Quadratures (Q2968585) (← links)
- Weighted Smolyak algorithm for solution of stochastic differential equations on non-uniform probability measures (Q3018043) (← links)
- A data-driven stochastic collocation approach for uncertainty quantification in MEMS (Q3164504) (← links)
- Numerical Integration in Multiple Dimensions with Designed Quadrature (Q3174765) (← links)
- Stochastic finite element methods for partial differential equations with random input data (Q4683917) (← links)
- Stochastic Collocation Methods for Nonlinear Parabolic Equations with Random Coefficients (Q5741187) (← links)
- An <i>hp</i>‐adaptive multi‐element stochastic collocation method for surrogate modeling with information re‐use (Q6082501) (← links)
- An adaptive ANOVA stochastic Galerkin method for partial differential equations with high-dimensional random inputs (Q6178632) (← links)
- Variance-based simplex stochastic collocation with model order reduction for high-dimensional systems (Q6555319) (← links)
