73 results on '"Adrian Sandu"'
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2. Preserving Nonlinear Constraints in Variational Flow Filtering Data Assimilation.
3. Symplectic multirate generalized additive Runge-Kutta methods for Hamiltonian systems.
4. Neural Network Reduction with Guided Regularizers.
5. Simultaneous Optimal System and Controller Design for Multibody Systems with Joint Friction using Direct Sensitivities.
6. Adversarial Training Using Feedback Loops.
7. Physics-informed neural networks for PDE-constrained optimization and control.
8. Eliminating Order Reduction on Linear, Time-Dependent ODEs with GARK Methods.
9. The Model Forest Ensemble Kalman Filter.
10. A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction.
11. A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations.
12. Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation.
13. Symplectic GARK methods for Hamiltonian systems.
14. A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter.
15. Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder.
16. An Ensemble Variational Fokker-Planck Method for Data Assimilation.
17. A unified formulation of splitting-based implicit time integration schemes.
18. Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders.
19. Multirate Linearly-Implicit GARK Schemes.
20. A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates.
21. Linearly Implicit Multistep Methods for Time Integration.
22. A fast time-stepping strategy for ODE systems equipped with a surrogate model.
23. Linearly implicit GARK schemes.
24. Goal-oriented a posteriori estimation of numerical errors in the solution of multiphysics systems.
25. Parallel implicit-explicit general linear methods.
26. Convergence Results for Implicit-Explicit General Linear Methods.
27. A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering.
28. An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence.
29. Partitioned Exponential Methods for Coupled Multiphysics Systems.
30. Biorthogonal Rosenbrock-Krylov time discretization methods.
31. Implicit multirate GARK methods.
32. Adaptive Krylov-Type Time Integration Methods.
33. Alternating Directions Implicit Integration in a General Linear Method Framework.
34. Efficient implementation of partitioned stiff exponential Runge-Kutta methods.
35. ODE Test Problems: a MATLAB suite of initial value problems.
36. A Learning Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models.
37. Design of High-Order Decoupled Multirate GARK Schemes.
38. A Machine Learning Approach to Adaptive Covariance Localization.
39. A Bayesian Approach to Multivariate Adaptive Localization in Ensemble-Based Data Assimilation with Time-Dependent Extensions.
40. A Class of Multirate Infinitesimal GARK Methods.
41. Coupled Multirate Infinitesimal GARK Schemes for Stiff Systems with Multiple Time Scales.
42. EPIRK-W and EPIRK-K time discretization methods.
43. DATeS: A Highly-Extensible Data Assimilation Testing Suite.
44. Multivariate predictions of local reduced-order-model errors and dimensions.
45. Solving Parameter Estimation Problems with Discrete Adjoint Exponential Integrators.
46. The Reduced-Order Hybrid Monte Carlo Sampling Smoother.
47. A Parallel Implementation of the Ensemble Kalman Filter Based on Modified Cholesky Decomposition.
48. Cluster Sampling Filters for Non-Gaussian Data Assimilation.
49. A Numerical Investigation of Matrix-Free Implicit Time-Stepping Methods for Large CFD Simulations.
50. Efficient Construction of Local Parametric Reduced Order Models Using Machine Learning Techniques.
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