Pages that link to "Item:Q1799150"
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The following pages link to Strong convergence for explicit space-time discrete numerical approximation methods for stochastic Burgers equations (Q1799150):
Displaying 20 items.
- A spatial version of the Itō-Stratonovich correction (Q439881) (← links)
- Strong convergence rates for nonlinearity-truncated Euler-type approximations of stochastic Ginzburg-Landau equations (Q1756954) (← links)
- Spectral collocation method for stochastic Burgers equation driven by additive noise (Q1761626) (← links)
- Convergence rate for Galerkin approximation of the stochastic Allen-Cahn equations on 2D torus (Q2025273) (← links)
- Spatial Sobolev regularity for stochastic Burgers equations with additive trace class noise (Q2033010) (← links)
- Space-time Euler discretization schemes for the stochastic 2D Navier-Stokes equations (Q2093323) (← links)
- Overcoming the curse of dimensionality in the approximative pricing of financial derivatives with default risks (Q2201474) (← links)
- Point vortex approximation for 2D Navier-Stokes equations driven by space-time white noise (Q2208956) (← links)
- Lower and upper bounds for strong approximation errors for numerical approximations of stochastic heat equations (Q2216483) (← links)
- Higher order pathwise approximation for the stochastic Burgers' equation with additive noise (Q2228004) (← links)
- Exponential moments for numerical approximations of stochastic partial differential equations (Q2315123) (← links)
- Optimal rate of convergence for stochastic Burgers-type equations (Q2629201) (← links)
- Full discretization of the stochastic Burgers equation with correlated noise (Q2841056) (← links)
- SPARSE GRID STOCHASTIC COLLOCATION METHOD FOR STOCHASTIC BURGERS EQUATION (Q2970142) (← links)
- Existence, uniqueness, and numerical approximations for stochastic Burgers equations (Q3298099) (← links)
- Solving high-dimensional optimal stopping problems using deep learning (Q5014845) (← links)
- Strong approximation of monotone stochastic partial differential equations driven by white noise (Q5109468) (← links)
- Strong rates of convergence of space-time discretization schemes for the 2D Navier–Stokes equations with additive noise (Q5864054) (← links)
- On the discretization in time of parabolic stochastic partial differential equations (Q5890474) (← links)
- Strong convergence rates for explicit space-time discrete numerical approximations of stochastic Allen-Cahn equations (Q6163565) (← links)
