:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Gleich, David F.
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis
Online Access:	https://arxiv.org/abs/2402.18427
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Suboptimality bounds for trace-bounded SDPs enable a faster and scalable low-rank SDP solver SDPLR+
by: Huang, Yufan, et al.
Published: (2024)

Parametric kernel low-rank approximations using tensor train decomposition
by: Khan, Abraham, et al.
Published: (2024)

CP decomposition and low-rank approximation of antisymmetric tensors
by: Begovic, Erna, et al.
Published: (2022)

Accelerated decomposition of bistochastic kernel matrices by low rank approximation
by: Vales, Chris, et al.
Published: (2025)

Randomized dual singular value decomposition
by: Wang, Mengyu, et al.
Published: (2024)

An Empirical Study of Conjugate Gradient Preconditioners for Solving Symmetric Positive Definite Systems of Linear Equations
by: Tunnell, Marc A., et al.
Published: (2025)

Dominant H-Eigenvectors of Tensor Kronecker Products Do Not Decouple
by: Kulkarni, Ayush, et al.
Published: (2025)

Randomized low-rank approximation of parameter-dependent matrices
by: Kressner, Daniel, et al.
Published: (2023)

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

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

Quaternion tensor low rank Quaternion tensor low-rank approximation using a family of non-convex norms
by: Zahir, Alaeddine, et al.
Published: (2024)

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

Geometric low-rank approximation of the Zeitlin model of incompressible fluids on the sphere
by: Pagliantini, Cecilia
Published: (2024)

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

Derivative of the truncated singular value and eigen decomposition
by: Naumann, Jan
Published: (2025)

An efficient and memory free algorithm for subdiffusion equation using incremental singular value decomposition
by: Li, Jichun, et al.
Published: (2022)

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

Fault Oblivious Eigenvalue Solver
by: Mukherjee, Jayanta, et al.
Published: (2025)

From low-rank retractions to dynamical low-rank approximation and back
by: Séguin, Axel, et al.
Published: (2023)

A generalized Nystrom method with column sketching for low-rank approximation of nonsymmetric matrices
by: Wang, Yatian, et al.
Published: (2024)

Time integration of quantized tensor trains using the interpolative dynamical low-rank approximation
by: Ye, Erika, et al.
Published: (2025)

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

Domain decomposition dynamical low-rank for multi-dimensional radiative transfer equations
by: Brunner, Stefan, et al.
Published: (2026)

Low-rank cross approximation of function-valued tensors for reduced-order modeling of parametric PDEs
by: Budzinskiy, Stanislav, et al.
Published: (2025)

Measurability and continuity of parametric low-rank approximation in Hilbert spaces: linear operators and random variables
by: Franco, Nicola Rares
Published: (2024)

A unified framework for multiscale spectral generalized FEMs and low-rank approximations to multiscale PDEs
by: Ma, Chupeng
Published: (2023)

Restarting the Numerical Flow Iteration through low rank tensor approximations
by: Wilhelm, Rostislav-Paul, et al.
Published: (2025)

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

Matrix best approximation in the spectral norm
by: Faber, Vance, et al.
Published: (2025)

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

Low-rank approximation of analytic kernels
by: Webb, Marcus
Published: (2025)

A note on best n-term approximation for generalized Wiener classes
by: DeVore, Ronald, et al.
Published: (2024)

Robust low-rank training via approximate orthonormal constraints
by: Savostianova, Dayana, et al.
Published: (2023)

Inverse scattering beyond Born approximation via rotation-equivariance-aware neural network and low-rank structure
by: Zhou, Yuyuan, et al.
Published: (2026)

Strong consistency of an estimator by the truncated singular value decomposition for an errors-in-variables regression model with collinearity
by: Aishima, Kensuke
Published: (2023)

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

A unified error analysis for randomized low-rank approximation with application to data assimilation
by: Di Perrotolo, Alexandre Scotto, et al.
Published: (2024)

Macro-micro decomposition for consistent and conservative model order reduction of hyperbolic shallow water moment equations: A study using POD-Galerkin and dynamical low rank approximation
by: Koellermeier, Julian, et al.
Published: (2023)

Efficient approximations of matrix multiplication using truncated decompositions
by: Kar, Suvendu, et al.
Published: (2025)

Fast randomized algorithms for low-rank matrix approximations with applications in global comparative analysis of a class of data sets
by: Xu, Weiwei, et al.
Published: (2024)