Provable Low-Rank Tensor-Train Approximations in the Inverse of Large-Scale Structured Matrices
Fuente:
arXiv
Guardado en:
| Autores principales: | Xiao, Chuanfu, Tang, Kejun, Zhu, Zhitao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
APTT: An accuracy-preserved tensor-train method for the Boltzmann-BGK equation
por: Zhu, Zhitao, et al.
Publicado: (2024)
por: Zhu, Zhitao, et al.
Publicado: (2024)
HOQRI: Higher-order QR Iteration for Low Multilinear Rank Approximation of Large and Sparse Tensors
por: Sun, Yuchen, et al.
Publicado: (2025)
por: Sun, Yuchen, et al.
Publicado: (2025)
A Novel Block-Alternating Iterative Algorithm for Retrieving Top-$k$ Elements from Factorized Tensors
por: Xiao, Chuanfu, et al.
Publicado: (2025)
por: Xiao, Chuanfu, et al.
Publicado: (2025)
Efficient Algorithms for Low Tubal Rank Tensor Approximation with Applications
por: Ahmadi-Asl, Salman, et al.
Publicado: (2024)
por: Ahmadi-Asl, Salman, et al.
Publicado: (2024)
Sublinear Time Low-Rank Approximation of Hankel Matrices
por: Kapralov, Michael, et al.
Publicado: (2025)
por: Kapralov, Michael, et al.
Publicado: (2025)
Sublinear Time Low-Rank Approximation of Toeplitz Matrices
por: Musco, Cameron, et al.
Publicado: (2024)
por: Musco, Cameron, et al.
Publicado: (2024)
Local Interpolation via Low-Rank Tensor Trains
por: Guzman, Siddhartha E., et al.
Publicado: (2026)
por: Guzman, Siddhartha E., et al.
Publicado: (2026)
Multivariate Rational Approximation via Low-Rank Tensors and the p-AAA Algorithm
por: Balicki, Linus, et al.
Publicado: (2025)
por: Balicki, Linus, et al.
Publicado: (2025)
Left Inverses for B-spline Subdivision Matrices in Tensor-Product Spaces
por: Actis, Marcelo, et al.
Publicado: (2025)
por: Actis, Marcelo, et al.
Publicado: (2025)
A DEIM Tucker Tensor Cross Algorithm and its Application to Dynamical Low-Rank Approximation
por: Ghahremani, Behzad, et al.
Publicado: (2024)
por: Ghahremani, Behzad, et al.
Publicado: (2024)
Superfast Low Rank Approximation
por: Go, Soo, et al.
Publicado: (2018)
por: Go, Soo, et al.
Publicado: (2018)
Joint Approximate Partial Diagonalization of Large Matrices
por: Seghouane, Abd-Krim, et al.
Publicado: (2024)
por: Seghouane, Abd-Krim, et al.
Publicado: (2024)
Structured First-Layer Initialization Pre-Training Techniques to Accelerate Training Process Based on $\varepsilon$-Rank
por: Tang, Tao, et al.
Publicado: (2025)
por: Tang, Tao, et al.
Publicado: (2025)
CUR Low Rank Approximation of a Matrix at Sublinear Cost
por: Go, Soo, et al.
Publicado: (2019)
por: Go, Soo, et al.
Publicado: (2019)
Dynamical Tensor Train Approximation for Kinetic Equations
por: Wang, Geshuo, et al.
Publicado: (2025)
por: Wang, Geshuo, et al.
Publicado: (2025)
Low Rank Approximation at Sublinear Cost
por: Luan, Qi, et al.
Publicado: (2019)
por: Luan, Qi, et al.
Publicado: (2019)
Randomized Algorithms for Low-Rank Matrix and Tensor Decompositions
por: Pearce, Katherine J., et al.
Publicado: (2025)
por: Pearce, Katherine J., et al.
Publicado: (2025)
Cross Interpolation for Solving High-Dimensional Dynamical Systems on Low-Rank Tucker and Tensor Train Manifolds
por: Ghahremani, Behzad, et al.
Publicado: (2024)
por: Ghahremani, Behzad, et al.
Publicado: (2024)
QRP Variation of Cross--Approximation Iterations for Low Rank Approximation
por: Pan, Victor Y., et al.
Publicado: (2018)
por: Pan, Victor Y., et al.
Publicado: (2018)
Hierarchical Tucker Low-Rank Matrices: Construction and Matrix-Vector Multiplication
por: Li, Yingzhou, et al.
Publicado: (2025)
por: Li, Yingzhou, et al.
Publicado: (2025)
Sketching Low-Rank Plus Diagonal Matrices
por: Fernandez, Andres, et al.
Publicado: (2025)
por: Fernandez, Andres, et al.
Publicado: (2025)
Efficient Orthogonal Decomposition with Automatic Basis Extraction for Low-Rank Matrix Approximation
por: Shen, Weijie, et al.
Publicado: (2024)
por: Shen, Weijie, et al.
Publicado: (2024)
Iterative Refinement and Oversampling for Low Rank Approximation
por: Pan, Victor Y., et al.
Publicado: (2019)
por: Pan, Victor Y., et al.
Publicado: (2019)
Low-Rank Approximation by Randomly Pivoted LU
por: Gilles, Marc Aurèle, et al.
Publicado: (2026)
por: Gilles, Marc Aurèle, et al.
Publicado: (2026)
Pass-efficient Randomized Algorithms for Low-rank Approximation of Quaternion Matrices
por: Ahmadi-Asl, Salman, et al.
Publicado: (2025)
por: Ahmadi-Asl, Salman, et al.
Publicado: (2025)
One-Bit Sensing of Low-Rank and Bisparse Matrices
por: Foucart, Simon, et al.
Publicado: (2019)
por: Foucart, Simon, et al.
Publicado: (2019)
A Novel Transformed Fibered Rank Approximation with Total Variation Regularization for Tensor Completion
por: Chen, Ziming, et al.
Publicado: (2025)
por: Chen, Ziming, et al.
Publicado: (2025)
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
por: Tang, Kejun, et al.
Publicado: (2023)
por: Tang, Kejun, et al.
Publicado: (2023)
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation
por: Katende, Ronald
Publicado: (2025)
por: Katende, Ronald
Publicado: (2025)
Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Approximately Low-Rank Matrices? Yes, $MAM^*$!
por: Boahen, Edem, et al.
Publicado: (2025)
por: Boahen, Edem, et al.
Publicado: (2025)
Scalable Binary CUR Low-Rank Approximation Algorithm
por: Su, Bowen
Publicado: (2025)
por: Su, Bowen
Publicado: (2025)
Dynamical Low-Rank Approximation Strategies for Nonlinear Feedback Control Problems
por: Saluzzi, Luca, et al.
Publicado: (2025)
por: Saluzzi, Luca, et al.
Publicado: (2025)
A Provably Efficient Method for Tensor Ring Decomposition and Its Applications
por: Chen, Han, et al.
Publicado: (2025)
por: Chen, Han, et al.
Publicado: (2025)
The Role of Tensor-Generated Matrices in Analyzing Spin State Classicality and Tensor H-Eigenvalue Distributions
por: Xiong, Liang, et al.
Publicado: (2024)
por: Xiong, Liang, et al.
Publicado: (2024)
Fast and Provable Tensor-Train Format Tensor Completion via Precondtioned Riemannian Gradient Descent
por: Bian, Fengmiao, et al.
Publicado: (2025)
por: Bian, Fengmiao, et al.
Publicado: (2025)
Parametric Hierarchical Matrix Approximations to Kernel Matrices
por: Khan, Abraham, et al.
Publicado: (2025)
por: Khan, Abraham, et al.
Publicado: (2025)
Implicit Dynamical Tensor Train Approximation for Kinetic Equations with Stiff Fokker--Planck Collisions
por: Wang, Geshuo, et al.
Publicado: (2026)
por: Wang, Geshuo, et al.
Publicado: (2026)
A Tensor Train-Based Isogeometric Solver for Large-Scale 3D Poisson Problems on Complex Geometries
por: Tran, Quoc Thai, et al.
Publicado: (2025)
por: Tran, Quoc Thai, et al.
Publicado: (2025)
What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation?
por: Xu, Ruihan, et al.
Publicado: (2025)
por: Xu, Ruihan, et al.
Publicado: (2025)
Precision-induced Adaptive Randomized Low-Rank Approximation for SVD and Matrix Inversion
por: Xu, Weiwei, et al.
Publicado: (2026)
por: Xu, Weiwei, et al.
Publicado: (2026)
Ejemplares similares
-
APTT: An accuracy-preserved tensor-train method for the Boltzmann-BGK equation
por: Zhu, Zhitao, et al.
Publicado: (2024) -
HOQRI: Higher-order QR Iteration for Low Multilinear Rank Approximation of Large and Sparse Tensors
por: Sun, Yuchen, et al.
Publicado: (2025) -
A Novel Block-Alternating Iterative Algorithm for Retrieving Top-$k$ Elements from Factorized Tensors
por: Xiao, Chuanfu, et al.
Publicado: (2025) -
Efficient Algorithms for Low Tubal Rank Tensor Approximation with Applications
por: Ahmadi-Asl, Salman, et al.
Publicado: (2024) -
Sublinear Time Low-Rank Approximation of Hankel Matrices
por: Kapralov, Michael, et al.
Publicado: (2025)