Dynamical low-rank approximation for the semiclassical Schrodinger equation with uncertainties
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Liu, Xu, Limin, Zhu, Zhenyi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
On a class of multi-fidelity methods for the semiclassical Schrödinger equation with uncertainties
por: Lin, Yiwen, et al.
Publicado: (2024)
por: Lin, Yiwen, et al.
Publicado: (2024)
Deep learning-based moment closure for multi-phase computation of semiclassical limit of the Schrödinger equation
por: Jang, Jin Woo, et al.
Publicado: (2025)
por: Jang, Jin Woo, et al.
Publicado: (2025)
A Bi-fidelity based asymptotic-preserving neural network for the semiconductor Boltzmann equation and its inverse problem
por: Liu, Liu, et al.
Publicado: (2025)
por: Liu, Liu, et al.
Publicado: (2025)
Filtered finite difference methods for nonlinear Schrödinger equations in semiclassical scaling
por: Shi, Yanyan, et al.
Publicado: (2024)
por: Shi, Yanyan, et al.
Publicado: (2024)
Frozen Gaussian approximation for the fractional Schrödinger equation
por: Chai, Lihui, et al.
Publicado: (2024)
por: Chai, Lihui, et al.
Publicado: (2024)
Efficient adaptive randomized algorithms for fixed-threshold low-rank matrix approximation
por: Liu, Qiaohua, et al.
Publicado: (2025)
por: Liu, Qiaohua, et al.
Publicado: (2025)
On the approximation of the von Neumann equation in the semiclassical limit. Part II : numerical analysis
por: Filbet, Francis, et al.
Publicado: (2025)
por: Filbet, Francis, et al.
Publicado: (2025)
Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations
por: Wu, Zi, et al.
Publicado: (2025)
por: Wu, Zi, et al.
Publicado: (2025)
Uniform observable error bounds of Trotter formulae for the semiclassical Schrödinger equation
por: Borns-Weil, Yonah, et al.
Publicado: (2022)
por: Borns-Weil, Yonah, et al.
Publicado: (2022)
Randomized low-rank approximation of parameter-dependent matrices
por: Kressner, Daniel, et al.
Publicado: (2023)
por: Kressner, Daniel, et al.
Publicado: (2023)
Accelerating seismic inversion and uncertainty quantification with efficient high-rank Hessian approximations
por: Hu, Mathew, et al.
Publicado: (2025)
por: Hu, Mathew, et al.
Publicado: (2025)
An efficient solver based on low-rank approximation and Neumann matrix series for unsteady diffusion-type partial differential equations with random coefficients
por: Zhu, Yujun, et al.
Publicado: (2026)
por: Zhu, Yujun, et al.
Publicado: (2026)
Frozen Gaussian sampling algorithms for simulating Markovian open quantum systems in the semiclassical regime
por: Xu, Limin, et al.
Publicado: (2025)
por: Xu, Limin, et al.
Publicado: (2025)
PhysicsSolver: Transformer-Enhanced Physics-Informed Neural Networks for Forward and Forecasting Problems in Partial Differential Equations
por: Zhu, Zhenyi, et al.
Publicado: (2025)
por: Zhu, Zhenyi, et al.
Publicado: (2025)
Matrices over a Hilbert space and their low-rank approximation
por: Budzinskiy, Stanislav
Publicado: (2025)
por: Budzinskiy, Stanislav
Publicado: (2025)
Quaternion tensor low rank Quaternion tensor low-rank approximation using a family of non-convex norms
por: Zahir, Alaeddine, et al.
Publicado: (2024)
por: Zahir, Alaeddine, et al.
Publicado: (2024)
Randomized strong rank-revealing QR for column subset selection and low-rank matrix approximation
por: Grigori, Laura, et al.
Publicado: (2025)
por: Grigori, Laura, et al.
Publicado: (2025)
Geometric low-rank approximation of the Zeitlin model of incompressible fluids on the sphere
por: Pagliantini, Cecilia
Publicado: (2024)
por: Pagliantini, Cecilia
Publicado: (2024)
Parametric kernel low-rank approximations using tensor train decomposition
por: Khan, Abraham, et al.
Publicado: (2024)
por: Khan, Abraham, et al.
Publicado: (2024)
Better than best low-rank approximation with the singular value decomposition
por: Gleich, David F.
Publicado: (2024)
por: Gleich, David F.
Publicado: (2024)
Efficient quaternion CUR method for low-rank approximation to quaternion matrix
por: Wu, Peng-Ling, et al.
Publicado: (2024)
por: Wu, Peng-Ling, et al.
Publicado: (2024)
Time-integration of Gaussian variational approximation for the magnetic Schrödinger equation
por: Scheifinger, Malik, et al.
Publicado: (2025)
por: Scheifinger, Malik, et al.
Publicado: (2025)
A generalized Nystrom method with column sketching for low-rank approximation of nonsymmetric matrices
por: Wang, Yatian, et al.
Publicado: (2024)
por: Wang, Yatian, et al.
Publicado: (2024)
Time integration of quantized tensor trains using the interpolative dynamical low-rank approximation
por: Ye, Erika, et al.
Publicado: (2025)
por: Ye, Erika, et al.
Publicado: (2025)
Low-rank plus diagonal approximations for Riccati-like matrix differential equations
por: Bonnabel, Silvère, et al.
Publicado: (2024)
por: Bonnabel, Silvère, et al.
Publicado: (2024)
Fast randomized algorithms for low-rank matrix approximations with applications in global comparative analysis of a class of data sets
por: Xu, Weiwei, et al.
Publicado: (2024)
por: Xu, Weiwei, et al.
Publicado: (2024)
Fast adaptive tubal rank-revealing algorithm for t-product based tensor approximation
por: Liu, Qiaohua, et al.
Publicado: (2025)
por: Liu, Qiaohua, et al.
Publicado: (2025)
Accelerated decomposition of bistochastic kernel matrices by low rank approximation
por: Vales, Chris, et al.
Publicado: (2025)
por: Vales, Chris, et al.
Publicado: (2025)
Measurability and continuity of parametric low-rank approximation in Hilbert spaces: linear operators and random variables
por: Franco, Nicola Rares
Publicado: (2024)
por: Franco, Nicola Rares
Publicado: (2024)
A unified framework for multiscale spectral generalized FEMs and low-rank approximations to multiscale PDEs
por: Ma, Chupeng
Publicado: (2023)
por: Ma, Chupeng
Publicado: (2023)
An adaptive low-rank splitting approach for the extended Fisher--Kolmogorov equation
por: Zhao, Yong-Liang, et al.
Publicado: (2022)
por: Zhao, Yong-Liang, et al.
Publicado: (2022)
CP decomposition and low-rank approximation of antisymmetric tensors
por: Begovic, Erna, et al.
Publicado: (2022)
por: Begovic, Erna, et al.
Publicado: (2022)
Interpolatory dynamical low-rank approximation for the 3+3d Boltzmann-BGK equation
por: Dektor, Alec, et al.
Publicado: (2024)
por: Dektor, Alec, et al.
Publicado: (2024)
Optimally truncated WKB approximation for the highly oscillatory stationary 1D Schrödinger equation
por: Körner, Jannis, et al.
Publicado: (2023)
por: Körner, Jannis, et al.
Publicado: (2023)
Superfast iterative refinement of low rank approximation of a matrix based on ALS method and random sampling
por: Luan, Qi, et al.
Publicado: (2019)
por: Luan, Qi, et al.
Publicado: (2019)
Restarting the Numerical Flow Iteration through low rank tensor approximations
por: Wilhelm, Rostislav-Paul, et al.
Publicado: (2025)
por: Wilhelm, Rostislav-Paul, et al.
Publicado: (2025)
Quasioptimal alternating projections and their use in low-rank approximation of matrices and tensors
por: Budzinskiy, Stanislav
Publicado: (2023)
por: Budzinskiy, Stanislav
Publicado: (2023)
From low-rank retractions to dynamical low-rank approximation and back
por: Séguin, Axel, et al.
Publicado: (2023)
por: Séguin, Axel, et al.
Publicado: (2023)
Numerical analysis of the high-frequency Helmholtz equation using semiclassical analysis
por: Galkowski, Jeffrey, et al.
Publicado: (2025)
por: Galkowski, Jeffrey, et al.
Publicado: (2025)
Low-rank approximation of analytic kernels
por: Webb, Marcus
Publicado: (2025)
por: Webb, Marcus
Publicado: (2025)
Ejemplares similares
-
On a class of multi-fidelity methods for the semiclassical Schrödinger equation with uncertainties
por: Lin, Yiwen, et al.
Publicado: (2024) -
Deep learning-based moment closure for multi-phase computation of semiclassical limit of the Schrödinger equation
por: Jang, Jin Woo, et al.
Publicado: (2025) -
A Bi-fidelity based asymptotic-preserving neural network for the semiconductor Boltzmann equation and its inverse problem
por: Liu, Liu, et al.
Publicado: (2025) -
Filtered finite difference methods for nonlinear Schrödinger equations in semiclassical scaling
por: Shi, Yanyan, et al.
Publicado: (2024) -
Frozen Gaussian approximation for the fractional Schrödinger equation
por: Chai, Lihui, et al.
Publicado: (2024)