Imagen de Portada

How to reveal the rank of a matrix?

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Damle, Anil, Glas, Silke, Townsend, Alex, Yu, Annan
Formato:	Preprint
Publicado:	2024
Materias:	Numerical Analysis
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Structure-preserving model reduction on manifolds of port-Hamiltonian systems
por: Glas, Silke, et al.
Publicado: (2026)

Collect, Commit, Expand: Efficient CPQR-Based Column Selection for Extremely Wide Matrices
por: Armstrong, Robin, et al.
Publicado: (2025)

Leveraging time and parameters for nonlinear model reduction methods
por: Glas, Silke, et al.
Publicado: (2025)

Energy-stable Port-Hamiltonian Systems
por: Buchfink, Patrick, et al.
Publicado: (2025)

Randomized strong rank-revealing QR for column subset selection and low-rank matrix approximation
por: Grigori, Laura, et al.
Publicado: (2025)

Leveraging the Hankel norm approximation and data‐driven algorithms in reduced order modeling
por: Annan Yu, et al.
Publicado: (2024)

Model order reduction via Lie groups
por: Wotte, Yannik P., et al.
Publicado: (2025)

Extending Mercer's expansion to indefinite and asymmetric kernels
por: Jeong, Sungwoo, et al.
Publicado: (2024)

Convergence of Pivoted Cholesky Algorithm for Lipschitz Kernels
por: Jeong, Sungwoo, et al.
Publicado: (2025)

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

Efficient quaternion CUR method for low-rank approximation to quaternion matrix
por: Wu, Peng-Ling, et al.
Publicado: (2024)

ContHutch++: Stochastic trace estimation for implicit integral operators
por: Zvonek, Jennifer, et al.
Publicado: (2023)

Automating Variational Differentiation
por: Li, Kangbo, et al.
Publicado: (2024)

Transpose-free linear algebra
por: Halikias, Diana, et al.
Publicado: (2026)

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

A two-phase rank-based algorithm for low-rank matrix completion
por: Araújo, Tacildo de Souza, et al.
Publicado: (2022)

Fast adaptive tubal rank-revealing algorithm for t-product based tensor approximation
por: Liu, Qiaohua, et al.
Publicado: (2025)

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

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

Superfast iterative refinement of low rank approximation of a matrix based on ALS method and random sampling
por: Luan, Qi, et al.
Publicado: (2019)

A Mathematical Guide to Operator Learning
por: Boullé, Nicolas, et al.
Publicado: (2023)

Stage-Parallel Implicit Runge--Kutta methods via low-rank matrix equation corrections
por: Durastante, Fabio, et al.
Publicado: (2025)

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)

Fast prediction of plasma instabilities with sparse-grid-accelerated optimized dynamic mode decomposition
por: Gill, Kevin, et al.
Publicado: (2025)

Gauss-Southwell type descent methods for low-rank matrix optimization
por: Olikier, Guillaume, et al.
Publicado: (2023)

FEAST for differential eigenvalue problems
por: Horning, Andrew, et al.
Publicado: (2019)

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)

Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation
por: Jonnalagadda, Bhavana, et al.
Publicado: (2024)

Variable projection framework for the reduced-rank matrix approximation problem by weighted least-squares
por: Terray, Pascal
Publicado: (2025)

Alternating steepest descent methods for tensor completion with applications to spectromicroscopy
por: Townsend, Oliver, et al.
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)

Model reduction on manifolds: A differential geometric framework
por: Buchfink, Patrick, et al.
Publicado: (2023)

On global randomized block Kaczmarz algorithm for solving large-scale matrix equations
por: Niu, Yu-Qi, et al.
Publicado: (2022)

Low-rank approximation of analytic kernels
por: Webb, Marcus
Publicado: (2025)

Low-rank adaptive physics-informed HyperDeepONets for solving differential equations
por: Zeudong, Etienne, et al.
Publicado: (2025)

Matrices over a Hilbert space and their low-rank approximation
por: Budzinskiy, Stanislav
Publicado: (2025)

Algorithm to compute the rank and a Cartan subalgebra of a matrix Lie algebra with Mathematica
por: Bjerregaard, Pablo Alberca, et al.
Publicado: (2002)

Operator learning without the adjoint
por: Boullé, Nicolas, et al.
Publicado: (2024)

Rational Neural Networks have Expressivity Advantages
por: Tang, Maosen, et al.
Publicado: (2026)

Low-rank and sparse approximations for contact mechanics
por: Kollepara, Kiran Sagar
Publicado: (2024)