Pages that link to "Item:Q620036"
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The following pages link to A variance reduction method for parametrized stochastic differential equations using the reduced basis paradigm (Q620036):
Displaying 23 items.
- Time-domain formulation in computational dynamics for linear viscoelastic media with model uncertainties and stochastic excitation (Q356373) (← links)
- Computational strategy for the crash design analysis using an uncertain computational mechanical model (Q356825) (← links)
- Reduced basis techniques for stochastic problems (Q358488) (← links)
- Micro-macro models for viscoelastic fluids: modelling, mathematics and numerics (Q424279) (← links)
- A fast Monte-Carlo method with a reduced basis of control variates applied to uncertainty propagation and Bayesian estimation (Q503308) (← links)
- Calculation of the expectation of the solution of a one-dimensional stochastic PDE using a reduced base (Q639622) (← links)
- A comparison of approaches for the construction of reduced basis for stochastic Galerkin matrix equations. (Q778547) (← links)
- Variance reduction for discretised diffusions via regression (Q1674395) (← links)
- Model reduction method using variable-separation for stochastic saddle point problems (Q1700715) (← links)
- A reduced basis approach for some weakly stochastic multiscale problems (Q1928185) (← links)
- Certified offline-free reduced basis (COFRB) methods for stochastic differential equations driven by arbitrary types of noise (Q2291860) (← links)
- A transport-based multifidelity preconditioner for Markov chain Monte Carlo (Q2305532) (← links)
- A GRU-based ensemble learning method for time-variant uncertain structural response analysis (Q2670337) (← links)
- Optimal model management for multifidelity Monte Carlo estimation (Q2827043) (← links)
- Multifidelity approaches for optimization under uncertainty (Q2952604) (← links)
- An Efficient Control Variate Method for Parametrized Expectations (Q2998517) (← links)
- Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (Q4580293) (← links)
- Reduced Basis Methods for Uncertainty Quantification (Q4636408) (← links)
- Reduced Basis Methods for Parameterized Partial Differential Equations with Stochastic Influences Using the Karhunen--Loève Expansion (Q5397865) (← links)
- Stochastic viscosity approximations of Hamilton–Jacobi equations and variance reduction (Q6050023) (← links)
- A probabilistic reduced basis method for parameter-dependent problems (Q6126536) (← links)
- Data-driven structure-preserving model reduction for stochastic Hamiltonian systems (Q6152181) (← links)
- Influence of sampling on the convergence rates of greedy algorithms for parameter-dependent random variables (Q6657194) (← links)
