Pages that link to "Item:Q1693902"
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The following pages link to A robust bi-orthogonal/dynamically-orthogonal method using the covariance pseudo-inverse with application to stochastic flow problems (Q1693902):
Displaying 22 items.
- On the equivalence of dynamically orthogonal and bi-orthogonal methods: theory and numerical simulations (Q349143) (← links)
- A dynamically bi-orthogonal method for time-dependent stochastic partial differential equations. II: Adaptivity and generalizations (Q401601) (← links)
- Dynamical criteria for the evolution of the stochastic dimensionality in flows with uncertainty (Q655563) (← links)
- Dual dynamically orthogonal approximation of incompressible Navier Stokes equations with random boundary conditions (Q1700722) (← links)
- Stochastic dynamical low-rank approximation method (Q2000452) (← links)
- Rank-adaptive tensor methods for high-dimensional nonlinear PDEs (Q2049083) (← links)
- A mixed spectral treatment for the stochastic models with random parameters (Q2074228) (← links)
- A spectral method for stochastic fractional PDEs using dynamically-orthogonal/bi-orthogonal decomposition (Q2138018) (← links)
- Real-time reduced-order modeling of stochastic partial differential equations via time-dependent subspaces (Q2194337) (← links)
- Dynamically orthogonal tensor methods for high-dimensional nonlinear PDEs (Q2223023) (← links)
- On-the-fly reduced order modeling of passive and reactive species via time-dependent manifolds (Q2237281) (← links)
- Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases (Q2683419) (← links)
- Global analysis of Navier-Stokes and Boussinesq stochastic flows using dynamical orthogonality (Q2878441) (← links)
- Computing Sensitivities in Evolutionary Systems: A Real-Time Reduced Order Modeling Strategy (Q5022494) (← links)
- An observation-driven time-dependent basis for a reduced description of transient stochastic systems (Q5160812) (← links)
- Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks (Q5221026) (← links)
- Bi-Orthogonal fPINN: A Physics-Informed Neural Network Method for Solving Time-Dependent Stochastic Fractional PDEs (Q6143622) (← links)
- Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions (Q6177923) (← links)
- A robust second-order low-rank BUG integrator based on the midpoint rule (Q6587345) (← links)
- Collocation methods for nonlinear differential equations on low-rank manifolds (Q6650595) (← links)
- Time-dependent low-rank input-output operator for forced linearized dynamics with unsteady base flows (Q6661451) (← links)
- Reduced order modeling of turbulent reacting flows on low-rank matrix manifolds (Q6670727) (← links)
