Theory and numerics of subspace approximation of eigenvalue problems
Fuente:
arXiv
Saved in:
| Main Authors: | Cheung, Siu Wun, Choi, Youngsoo, Chung, Seung Whan, Fattebert, Jean-Luc, Kendrick, Coleman, Osei-Kuffuor, Daniel |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Model Order Reduction for Quantum Molecular Dynamics
by: Cheung, Siu Wun, et al.
Published: (2025)
by: Cheung, Siu Wun, et al.
Published: (2025)
A Reduced Order Model approach for First-Principles Molecular Dynamics Computations
by: Cheung, Siu Wun, et al.
Published: (2026)
by: Cheung, Siu Wun, et al.
Published: (2026)
Sequential decoder training for improved latent space dynamics identification
by: Anderson, William, et al.
Published: (2025)
by: Anderson, William, et al.
Published: (2025)
Machine-precision energy conservative reduced models for Lagrangian hydrodynamics by quadrature methods
by: Vales, Chris, et al.
Published: (2025)
by: Vales, Chris, et al.
Published: (2025)
Defining Foundation Models for Computational Science: A Call for Clarity and Rigor
by: Choi, Youngsoo, et al.
Published: (2025)
by: Choi, Youngsoo, et al.
Published: (2025)
mLaSDI: Multi-stage latent space dynamics identification
by: Anderson, William, et al.
Published: (2025)
by: Anderson, William, et al.
Published: (2025)
Latent Space Element Method
by: Chung, Seung Whan, et al.
Published: (2026)
by: Chung, Seung Whan, et al.
Published: (2026)
Block subspace expansions for eigenvalues and eigenvectors approximation
by: Zuccalli, Francisco Arrieta, et al.
Published: (2024)
by: Zuccalli, Francisco Arrieta, et al.
Published: (2024)
Scalable nonlinear manifold reduced order model for dynamical systems
by: Zanardi, Ivan, et al.
Published: (2024)
by: Zanardi, Ivan, et al.
Published: (2024)
Hyper-reduction methods for accelerating nonlinear finite element simulations: open source implementation and reproducible benchmarks
by: Larsson, Axel, et al.
Published: (2026)
by: Larsson, Axel, et al.
Published: (2026)
Deep Global Model Reduction Learning in Porous Media Flow Simulation
by: Cheung, Siu Wun, et al.
Published: (2018)
by: Cheung, Siu Wun, et al.
Published: (2018)
Local Reduced-Order Modeling for Electrostatic Plasmas by Physics-Informed Solution Manifold Decomposition
by: Tsai, Ping-Hsuan, et al.
Published: (2023)
by: Tsai, Ping-Hsuan, et al.
Published: (2023)
Reduced-order Deep Learning for Flow Dynamics
by: Wang, Min, et al.
Published: (2019)
by: Wang, Min, et al.
Published: (2019)
Offline Maximizing Minimally Invasive Proper Orthogonal Decomposition for Reduced Order Modeling of $S_n$ Radiation Transport
by: Huhn, Quincy, et al.
Published: (2025)
by: Huhn, Quincy, et al.
Published: (2025)
Applying acceleration to Krylov subspace eigenvalue solvers
by: Baker, Michelle, et al.
Published: (2026)
by: Baker, Michelle, et al.
Published: (2026)
S-OPT: A Points Selection Algorithm for Hyper-Reduction in Reduced Order Models
by: Lauzon, Jessica T., et al.
Published: (2022)
by: Lauzon, Jessica T., et al.
Published: (2022)
Offline-online approximation of multiscale eigenvalue problems with random defects
by: Kolombage, Dilini, et al.
Published: (2024)
by: Kolombage, Dilini, et al.
Published: (2024)
A noncoforming virtual element approximation for the Oseen eigenvalue problem
by: Adak, Dibyendu, et al.
Published: (2024)
by: Adak, Dibyendu, et al.
Published: (2024)
A Conforming virtual element approximation for the Oseen eigenvalue problem
by: Amigo, Danilo, et al.
Published: (2024)
by: Amigo, Danilo, et al.
Published: (2024)
Reduced basis approximation of parametric eigenvalue problems in presence of clusters and intersections
by: Boffi, Daniele, et al.
Published: (2023)
by: Boffi, Daniele, et al.
Published: (2023)
A rational approximation method for solving acoustic nonlinear eigenvalue problems
by: El-Guide, Mohamed, et al.
Published: (2019)
by: El-Guide, Mohamed, et al.
Published: (2019)
Efficient iterative linearised solvers for numerical approximations of stochastic Stefan problems
by: Khan, Muhammad Awais, et al.
Published: (2025)
by: Khan, Muhammad Awais, et al.
Published: (2025)
A fast and accurate domain-decomposition nonlinear manifold reduced order model
by: Diaz, Alejandro N., et al.
Published: (2023)
by: Diaz, Alejandro N., et al.
Published: (2023)
Free-RBF-KAN: Kolmogorov-Arnold Networks with Adaptive Radial Basis Functions for Efficient Function Learning
by: Chiu, Shao-Ting, et al.
Published: (2026)
by: Chiu, Shao-Ting, et al.
Published: (2026)
Scalable physics-guided data-driven component model reduction for steady Navier-Stokes flow
by: Chung, Seung Whan, et al.
Published: (2024)
by: Chung, Seung Whan, et al.
Published: (2024)
Scaled-up prediction of steady Navier-Stokes equation with component reduced order modeling
by: Chung, Seung Whan, et al.
Published: (2024)
by: Chung, Seung Whan, et al.
Published: (2024)
Noncommutative Laplacian and numerical approximation of Laplace-Beltrami spectrum of compact Riemann surfaces
by: Tageddine, Damien, et al.
Published: (2025)
by: Tageddine, Damien, et al.
Published: (2025)
A function approximation algorithm using multilevel active subspaces
by: Nobile, Fabio, et al.
Published: (2025)
by: Nobile, Fabio, et al.
Published: (2025)
A comparative numerical study of graph-based splitting algorithms for linear subspaces
by: Aragón-Artacho, Francisco J., et al.
Published: (2026)
by: Aragón-Artacho, Francisco J., et al.
Published: (2026)
Inexact subspace projection methods for low-rank tensor eigenvalue problems
by: Dektor, Alec, et al.
Published: (2025)
by: Dektor, Alec, et al.
Published: (2025)
Residual-based Chebyshev filtered subspace iteration for sparse Hermitian eigenvalue problems tolerant to inexact matrix-vector products
by: Kodali, Nikhil, et al.
Published: (2025)
by: Kodali, Nikhil, et al.
Published: (2025)
Generative Latent Space Dynamics of Electron Density
by: Chiang, Yuan, et al.
Published: (2025)
by: Chiang, Yuan, et al.
Published: (2025)
Gradient-type subspace iteration methods for the symmetric eigenvalue problem
by: Alimisis, Foivos, et al.
Published: (2023)
by: Alimisis, Foivos, et al.
Published: (2023)
An orthogonality-preserving approach for eigenvalue problems
by: Chu, Tianyang, et al.
Published: (2025)
by: Chu, Tianyang, et al.
Published: (2025)
Efficient space-time reduced order model for linear dynamical systems in Python using less than 120 lines of code
by: Kim, Youngkyu, et al.
Published: (2020)
by: Kim, Youngkyu, et al.
Published: (2020)
A subspace method for large-scale trace ratio problems
by: Ferrandi, G., et al.
Published: (2024)
by: Ferrandi, G., et al.
Published: (2024)
Upwind-and-shifted numerical scheme for fractional convection equation
by: Chou, Lot-Kei, et al.
Published: (2025)
by: Chou, Lot-Kei, et al.
Published: (2025)
Efficient hyperparameter estimation in Bayesian inverse problems using sample average approximation
by: Chung, Julianne, et al.
Published: (2024)
by: Chung, Julianne, et al.
Published: (2024)
Restoring similarity in randomized Krylov methods with applications to eigenvalue problems and matrix functions
by: Grigori, Laura, et al.
Published: (2026)
by: Grigori, Laura, et al.
Published: (2026)
An extended Lagrange FEM for the Maxwell eigenvalue problem
by: Han, Jiayu
Published: (2026)
by: Han, Jiayu
Published: (2026)
Similar Items
-
Model Order Reduction for Quantum Molecular Dynamics
by: Cheung, Siu Wun, et al.
Published: (2025) -
A Reduced Order Model approach for First-Principles Molecular Dynamics Computations
by: Cheung, Siu Wun, et al.
Published: (2026) -
Sequential decoder training for improved latent space dynamics identification
by: Anderson, William, et al.
Published: (2025) -
Machine-precision energy conservative reduced models for Lagrangian hydrodynamics by quadrature methods
by: Vales, Chris, et al.
Published: (2025) -
Defining Foundation Models for Computational Science: A Call for Clarity and Rigor
by: Choi, Youngsoo, et al.
Published: (2025)