:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xiao, Chuanfu, Tang, Kejun, Zhu, Zhitao
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis
Online Access:	https://arxiv.org/abs/2501.07210
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

APTT: An accuracy-preserved tensor-train method for the Boltzmann-BGK equation
by: Zhu, Zhitao, et al.
Published: (2024)

HOQRI: Higher-order QR Iteration for Low Multilinear Rank Approximation of Large and Sparse Tensors
by: Sun, Yuchen, et al.
Published: (2025)

A Novel Block-Alternating Iterative Algorithm for Retrieving Top-$k$ Elements from Factorized Tensors
by: Xiao, Chuanfu, et al.
Published: (2025)

Efficient Algorithms for Low Tubal Rank Tensor Approximation with Applications
by: Ahmadi-Asl, Salman, et al.
Published: (2024)

Sublinear Time Low-Rank Approximation of Hankel Matrices
by: Kapralov, Michael, et al.
Published: (2025)

Sublinear Time Low-Rank Approximation of Toeplitz Matrices
by: Musco, Cameron, et al.
Published: (2024)

Local Interpolation via Low-Rank Tensor Trains
by: Guzman, Siddhartha E., et al.
Published: (2026)

Multivariate Rational Approximation via Low-Rank Tensors and the p-AAA Algorithm
by: Balicki, Linus, et al.
Published: (2025)

Left Inverses for B-spline Subdivision Matrices in Tensor-Product Spaces
by: Actis, Marcelo, et al.
Published: (2025)

A DEIM Tucker Tensor Cross Algorithm and its Application to Dynamical Low-Rank Approximation
by: Ghahremani, Behzad, et al.
Published: (2024)

Superfast Low Rank Approximation
by: Go, Soo, et al.
Published: (2018)

CUR Low Rank Approximation of a Matrix at Sublinear Cost
by: Go, Soo, et al.
Published: (2019)

Joint Approximate Partial Diagonalization of Large Matrices
by: Seghouane, Abd-Krim, et al.
Published: (2024)

Structured First-Layer Initialization Pre-Training Techniques to Accelerate Training Process Based on $\varepsilon$-Rank
by: Tang, Tao, et al.
Published: (2025)

Dynamical Tensor Train Approximation for Kinetic Equations
by: Wang, Geshuo, et al.
Published: (2025)

Sketching Low-Rank Plus Diagonal Matrices
by: Fernandez, Andres, et al.
Published: (2025)

Low Rank Approximation at Sublinear Cost
by: Luan, Qi, et al.
Published: (2019)

Randomized Algorithms for Low-Rank Matrix and Tensor Decompositions
by: Pearce, Katherine J., et al.
Published: (2025)

Hierarchical Tucker Low-Rank Matrices: Construction and Matrix-Vector Multiplication
by: Li, Yingzhou, et al.
Published: (2025)

QRP Variation of Cross--Approximation Iterations for Low Rank Approximation
by: Pan, Victor Y., et al.
Published: (2018)

Cross Interpolation for Solving High-Dimensional Dynamical Systems on Low-Rank Tucker and Tensor Train Manifolds
by: Ghahremani, Behzad, et al.
Published: (2024)

Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
by: Tang, Kejun, et al.
Published: (2023)

Efficient Orthogonal Decomposition with Automatic Basis Extraction for Low-Rank Matrix Approximation
by: Shen, Weijie, et al.
Published: (2024)

One-Bit Sensing of Low-Rank and Bisparse Matrices
by: Foucart, Simon, et al.
Published: (2019)

Iterative Refinement and Oversampling for Low Rank Approximation
by: Pan, Victor Y., et al.
Published: (2019)

Low-Rank Approximation by Randomly Pivoted LU
by: Gilles, Marc Aurèle, et al.
Published: (2026)

Pass-efficient Randomized Algorithms for Low-rank Approximation of Quaternion Matrices
by: Ahmadi-Asl, Salman, et al.
Published: (2025)

Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Approximately Low-Rank Matrices? Yes, $MAM^*$!
by: Boahen, Edem, et al.
Published: (2025)

A Novel Transformed Fibered Rank Approximation with Total Variation Regularization for Tensor Completion
by: Chen, Ziming, et al.
Published: (2025)

Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation
by: Katende, Ronald
Published: (2025)

Fast and Provable Tensor-Train Format Tensor Completion via Precondtioned Riemannian Gradient Descent
by: Bian, Fengmiao, et al.
Published: (2025)

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation?
by: Xu, Ruihan, et al.
Published: (2025)

Scalable Binary CUR Low-Rank Approximation Algorithm
by: Su, Bowen
Published: (2025)

Low T-Phase Rank Approximation of Third Order Tensors
by: Kim, Taehyeong, et al.
Published: (2026)

A Provably Efficient Method for Tensor Ring Decomposition and Its Applications
by: Chen, Han, et al.
Published: (2025)

Implicit Dynamical Tensor Train Approximation for Kinetic Equations with Stiff Fokker--Planck Collisions
by: Wang, Geshuo, et al.
Published: (2026)

Dynamical Low-Rank Approximation Strategies for Nonlinear Feedback Control Problems
by: Saluzzi, Luca, et al.
Published: (2025)

Perturbation Bounds for Low-Rank Inverse Approximations under Noise
by: Tran, Phuc, et al.
Published: (2025)

The Role of Tensor-Generated Matrices in Analyzing Spin State Classicality and Tensor H-Eigenvalue Distributions
by: Xiong, Liang, et al.
Published: (2024)

Parametric Hierarchical Matrix Approximations to Kernel Matrices
by: Khan, Abraham, et al.
Published: (2025)