Imagen de Portada

Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jeanney, Paul, Hetherington, Ashton, Ahmed, Shady E., Lanceta, David, Saiz, Susana, Perez, José Miguel, Clainche, Soledad Le
Formato:	Preprint
Publicado:	2025
Materias:	Computational Engineering, Finance, and Science Fluid Dynamics 62M20 (Primary) 65F30, 65C20, 76M12 (Secondary) G.1.3; G.3; I.6.3; G.1.10
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Uncertainty quantification in the Henry problem using the multilevel Monte Carlo method
por: Logashenko, Dmitry, et al.
Publicado: (2024)

A data driven Koopman-Schur decomposition for computational analysis of nonlinear dynamics
por: Drmač, Zlatko, et al.
Publicado: (2023)

MgFNO: Multi-grid Architecture Fourier Neural Operator for Parametric Partial Differential Equations
por: Guo, Zi-Hao, et al.
Publicado: (2024)

Anderson acceleration with approximate calculations: applications to scientific computing
por: Pasini, Massimiliano Lupo, et al.
Publicado: (2022)

UltimateKalman: Flexible Kalman Filtering and Smoothing Using Orthogonal Transformations
por: Toledo, Sivan
Publicado: (2022)

Analysis and improvement of a semi-Lagrangian exponential scheme for the shallow-water equations on the rotating sphere
por: Steinstraesser, João Guilherme Caldas, et al.
Publicado: (2024)

Scale-free congestion clusters in large-scale traffic networks: a continuum modeling study
por: Chiba, Yuki, et al.
Publicado: (2026)

CUQIpy: II. Computational uncertainty quantification for PDE-based inverse problems in Python
por: Alghamdi, Amal M A, et al.
Publicado: (2023)

A high-order implicit time integration method for linear and nonlinear dynamics with efficient computation of accelerations
por: O'Shea, Daniel, et al.
Publicado: (2024)

High-order temporal parametric finite element methods for simulating solid-state dewetting
por: Gan, Xiaowen, et al.
Publicado: (2025)

Faster Forward Sensitivities: Reduced stochastic hedge ratios from pathwise algorithmic differentiation
por: Fries, Christian P
Publicado: (2026)

Convolutional-neural-operator-based transfer learning for solving PDEs
por: Fan, Peng, et al.
Publicado: (2025)

Estimation of uncertainties in the density driven flow in fractured porous media using MLMC
por: Logashenko, Dmitry, et al.
Publicado: (2024)

Efficient Numerical Strategies for Entropy-Regularized Semi-Discrete Optimal Transport
por: Khamlich, Moaad, et al.
Publicado: (2025)

Automated Synthesis of Quantum Algorithms via Classical Numerical Techniques
por: Huang, Yuxin, et al.
Publicado: (2024)

Hydrodynamic density-functional theory for the moving contact-line problem reveals fluid structure and emergence of a spatially distinct pattern
por: Nold, Andreas, et al.
Publicado: (2024)

Symbolic Algorithm for Solving SLAEs with Multi-Diagonal Coefficient Matrices
por: Veneva, Milena
Publicado: (2024)

Strong convergence in the infinite horizon of numerical methods for stochastic delay differential equations
por: Wang, Yudong, et al.
Publicado: (2025)

Mixed Precision FGMRES-Based Iterative Refinement for Weighted Least Squares
por: Carson, Erin, et al.
Publicado: (2024)

Enabling Local Neural Operators to perform Equation-Free System-Level Analysis
por: Fabiani, Gianluca, et al.
Publicado: (2025)

A Hybrid Algorithm for Systems of Non-interacting Particles with an External Potential
por: Djurdjevac, Ana, et al.
Publicado: (2024)

POLYDIM: A C++ library for POLYtopal DIscretization Methods
por: Berrone, Stefano, et al.
Publicado: (2025)

Implementation techniques for multigrid solvers for high-order Discontinuous Galerkin methods
por: Baccas, Sean, et al.
Publicado: (2025)

Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems
por: Cho, Sung Woong, et al.
Publicado: (2024)

RANDSMAPs: Random-Feature/multi-Scale Neural Decoders with Mass Preservation
por: Patsatzis, Dimitrios G., et al.
Publicado: (2026)

Implicit numerical approximation for stochastic delay differential equations with the nonlinear diffusion term in the infinite horizon
por: Wang, Yudong, et al.
Publicado: (2025)

Finite-Time Convergence Guarantees for Time-Parallel Methods
por: Antonucci, Giancarlo Antonino, et al.
Publicado: (2026)

Space-Time Trade-off in Integer Linear Scaling Rounded to the Nearest Integer through Multiplicative and Additive Decomposition
por: Kim, Kyeong Soo
Publicado: (2026)

HODLR$d$D: A new Black-box fast algorithm for $N$-body problems in $d$-dimensions with guaranteed error bounds
por: Khan, Ritesh, et al.
Publicado: (2022)

Fast Gaussian process inference by exact Matérn kernel decomposition
por: Langrené, Nicolas, et al.
Publicado: (2025)

An EigenValue Stabilization Technique for Immersed Boundary Finite Element Methods in Explicit Dynamics
por: Eisenträger, Sascha, et al.
Publicado: (2023)

Stochastic Multiresolution Image Sketching for Inverse Imaging Problems
por: Perelli, Alessandro, et al.
Publicado: (2024)

Stabilization of isogeometric finite element method with optimal test functions computed from $L_2$ norm residual minimization
por: Łoś, Marcin, et al.
Publicado: (2024)

A deep learning approach for pricing convertible bonds with path-dependent reset and call provisions
por: Zhu, Qinwen, et al.
Publicado: (2026)

A Risk-Neutral Neural Operator for Arbitrage-Free SPX-VIX Term Structures
por: Zhang, Jian'an
Publicado: (2025)

Error estimates and adaptivity for a least-squares method applied to the Monge-Ampère equation
por: Caboussat, Alexandre, et al.
Publicado: (2025)

Numerical approaches to compute spectra of non-self adjoint operators in dimensions two and three
por: Aboud, Fatima, et al.
Publicado: (2024)

Gradient Coding with Iterative Block Leverage Score Sampling
por: Charalambides, Neophytos, et al.
Publicado: (2023)

Recent advances about the rigorous integration of parabolic PDEs via fully spectral Fourier-Chebyshev expansions
por: Cadiot, Matthieu, et al.
Publicado: (2025)

Scalable Preconditioners for the Pseudo-4D DFN Lithium-ion Battery Model
por: Roy, Thomas, et al.
Publicado: (2026)