Buchumschlag

An alternating low-rank projection approach for partial differential equations with random inputs

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Wang, Guanjie, Liao, Qifeng
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Numerical Analysis
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

An adaptive ANOVA stochastic Galerkin method for partial differential equations with high-dimensional random inputs
von: Wang, Guanjie, et al.
Veröffentlicht: (2023)

An efficient solver based on low-rank approximation and Neumann matrix series for unsteady diffusion-type partial differential equations with random coefficients
von: Zhu, Yujun, et al.
Veröffentlicht: (2026)

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations
von: Wu, Zi, et al.
Veröffentlicht: (2025)

A space-time adaptive low-rank method for high-dimensional parabolic partial differential equations
von: Bachmayr, Markus, et al.
Veröffentlicht: (2023)

Quasioptimal alternating projections and their use in low-rank approximation of matrices and tensors
von: Budzinskiy, Stanislav
Veröffentlicht: (2023)

CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
von: Berman, Jules, et al.
Veröffentlicht: (2024)

Collocation methods for nonlinear differential equations on low-rank manifolds
von: Dektor, Alec
Veröffentlicht: (2024)

Deep random difference method for high-dimensional quasilinear parabolic partial differential equations
von: Cai, Wei, et al.
Veröffentlicht: (2025)

Robust and efficient solvers for nonlinear partial differential equations based on random feature method
von: Tan, Longze
Veröffentlicht: (2025)

Adaptive neural network basis methods for partial differential equations with low-regular solutions
von: Huang, Jianguo, et al.
Veröffentlicht: (2024)

An adaptive low-rank splitting approach for the extended Fisher--Kolmogorov equation
von: Zhao, Yong-Liang, et al.
Veröffentlicht: (2022)

Generative diffusion learning for parametric partial differential equations
von: Wang, Ting, et al.
Veröffentlicht: (2023)

Preconditioners based on Voronoi quantizers of random variable coefficients for stochastic elliptic partial differential equations
von: Venkovic, Nicolas, et al.
Veröffentlicht: (2024)

Optimal Prediction for Hamiltonian partial differential equations
von: Chorin, A. J., et al.
Veröffentlicht: (1999)

Approximating partial differential equations without boundary conditions
von: Bonito, Andrea, et al.
Veröffentlicht: (2024)

Boundary neuron method for solving partial differential equations
von: Lin, Ye, et al.
Veröffentlicht: (2026)

Single-shot prediction of parametric partial differential equations
von: Rafiq, Khalid, et al.
Veröffentlicht: (2025)

Physics informed learning of orthogonal features with applications in solving partial differential equations
von: Jia, Qianxing, et al.
Veröffentlicht: (2026)

Optimally accurate operators for partial differential equations
von: Fuji, Nobuaki, et al.
Veröffentlicht: (2025)

Solving partial differential equations in participating media
von: Miller, Bailey, et al.
Veröffentlicht: (2025)

A new parallel solver suited for arbitrary semilinear parabolic partial differential equations based on generalized random trees
von: Acebron, Juan A., et al.
Veröffentlicht: (2024)

Data-integrated neural networks for solving partial differential equations
von: Zheng, Jiachun, et al.
Veröffentlicht: (2025)

A low-rank Lie-Trotter splitting approach for nonlinear fractional complex Ginzburg-Landau equations
von: Zhao, Yong-Liang, et al.
Veröffentlicht: (2020)

Adaptive low-rank exponential integrators for large-scale differential Riccati equation
von: Li, Jinyi, et al.
Veröffentlicht: (2026)

Adaptive feature capture method for solving partial differential equations with near singular solutions
von: Deng, Yangtao, et al.
Veröffentlicht: (2025)

Low-rank generalized alternating direction implicit iteration method for solving matrix equations
von: Zhang, Juan, et al.
Veröffentlicht: (2024)

Subspace method based on neural networks for solving the partial differential equation
von: Xu, Zhaodong, et al.
Veröffentlicht: (2024)

An introduction to the a posteriori error analysis of parabolic partial differential equations
von: Smears, Iain
Veröffentlicht: (2025)

Rank Inspired Neural Network for solving linear partial differential equations
von: Peng, Wentao, et al.
Veröffentlicht: (2025)

Moving sample method for solving time-dependent partial differential equations
von: Xu, Beining, et al.
Veröffentlicht: (2026)

Dynamical low-rank approximation for the semiclassical Schrodinger equation with uncertainties
von: Liu, Liu, et al.
Veröffentlicht: (2026)

Time-asymptotic behavior of the Boltzmann equation with random inputs in whole space and its stochastic Galerkin approximation
von: Jin, Shi, et al.
Veröffentlicht: (2025)

Spatial discretization of partial differential equations with integrals
von: McLachlan, Robert I
Veröffentlicht: (1998)

Efficient adaptive randomized algorithms for fixed-threshold low-rank matrix approximation
von: Liu, Qiaohua, et al.
Veröffentlicht: (2025)

Low-rank plus diagonal approximations for Riccati-like matrix differential equations
von: Bonnabel, Silvère, et al.
Veröffentlicht: (2024)

A posteriori error estimates for parabolic partial differential equations on stationary surfaces
von: Kovács, Balázs, et al.
Veröffentlicht: (2024)

A backward Monte-Carlo method for solving parabolic partial differential equations
von: Carlsson, Johan
Veröffentlicht: (2000)

Quantum Circuits for partial differential equations via Schrödingerisation
von: Hu, Junpeng, et al.
Veröffentlicht: (2024)

On Lattice Boltzmann Methods based on vector-kinetic models for hyperbolic partial differential equations
von: Anandan, Megala, et al.
Veröffentlicht: (2024)

Point collocation with mollified piecewise polynomial approximants for high-order partial differential equations
von: Alfarisy, Dewangga, et al.
Veröffentlicht: (2024)