Image de couverture de livre

A DEIM Tucker Tensor Cross Algorithm and its Application to Dynamical Low-Rank Approximation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ghahremani, Behzad, Babaee, Hessam
Format:	Preprint
Publié:	2024
Sujets:	Numerical Analysis
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Cross Interpolation for Solving High-Dimensional Dynamical Systems on Low-Rank Tucker and Tensor Train Manifolds
par: Ghahremani, Behzad, et autres
Publié: (2024)

An Adaptive CUR Algorithm and its Application to Reduced-Order Modeling of Random PDEs
par: Palkar, Grishma, et autres
Publié: (2025)

CUR for Implicit Time Integration of Random Partial Differential Equations on Low-Rank Matrix Manifolds
par: Naderi, Mohammad Hossein, et autres
Publié: (2024)

Efficient Algorithms for Low Tubal Rank Tensor Approximation with Applications
par: Ahmadi-Asl, Salman, et autres
Publié: (2024)

A CUR Krylov Solver for Large-Scale Linear Matrix Equations
par: Akbari, Saeed, et autres
Publié: (2025)

Multivariate Rational Approximation via Low-Rank Tensors and the p-AAA Algorithm
par: Balicki, Linus, et autres
Publié: (2025)

Tucker Tensor Train Taylor Series
par: Alger, Nick, et autres
Publié: (2026)

A DEIM-CUR factorization with iterative SVDs
par: Gidisu, Perfect Y., et autres
Publié: (2023)

Hierarchical Tucker Low-Rank Matrices: Construction and Matrix-Vector Multiplication
par: Li, Yingzhou, et autres
Publié: (2025)

Randomized Algorithms for Low-Rank Matrix and Tensor Decompositions
par: Pearce, Katherine J., et autres
Publié: (2025)

QRP Variation of Cross--Approximation Iterations for Low Rank Approximation
par: Pan, Victor Y., et autres
Publié: (2018)

A new cross approximation for Tucker tensors and its application in Tucker-Anderson Acceleration
par: Appelö, Daniel, et autres
Publié: (2025)

Provable Low-Rank Tensor-Train Approximations in the Inverse of Large-Scale Structured Matrices
par: Xiao, Chuanfu, et autres
Publié: (2025)

Scalable Binary CUR Low-Rank Approximation Algorithm
par: Su, Bowen
Publié: (2025)

HOQRI: Higher-order QR Iteration for Low Multilinear Rank Approximation of Large and Sparse Tensors
par: Sun, Yuchen, et autres
Publié: (2025)

Superfast Low Rank Approximation
par: Go, Soo, et autres
Publié: (2018)

Randomized Functional Sparse Tucker Tensor for Compression and Fast Visualization of Scientific Data
par: Rai, Prashant, et autres
Publié: (2019)

Dynamical Low-Rank Approximation Strategies for Nonlinear Feedback Control Problems
par: Saluzzi, Luca, et autres
Publié: (2025)

CUR Low Rank Approximation of a Matrix at Sublinear Cost
par: Go, Soo, et autres
Publié: (2019)

Low Rank Approximation at Sublinear Cost
par: Luan, Qi, et autres
Publié: (2019)

A Novel Transformed Fibered Rank Approximation with Total Variation Regularization for Tensor Completion
par: Chen, Ziming, et autres
Publié: (2025)

Iterative Refinement and Oversampling for Low Rank Approximation
par: Pan, Victor Y., et autres
Publié: (2019)

Low-Rank Approximation by Randomly Pivoted LU
par: Gilles, Marc Aurèle, et autres
Publié: (2026)

Dynamical Tensor Train Approximation for Kinetic Equations
par: Wang, Geshuo, et autres
Publié: (2025)

A Normal Form Algorithm for Tensor Rank Decomposition
par: Telen, Simon, et autres
Publié: (2021)

Local Interpolation via Low-Rank Tensor Trains
par: Guzman, Siddhartha E., et autres
Publié: (2026)

Computing the Nonnegative Low-Rank Leading Eigenmatrix and its Applications to Markov Grids and Metzler Operators
par: Gillis, Nicolas, et autres
Publié: (2026)

A Novel Adaptive Low-Rank Matrix Approximation Method for Image Compression and Reconstruction
par: Xu, Weiwei, et autres
Publié: (2025)

Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption
par: Cai, HanQin, et autres
Publié: (2023)

Efficient Orthogonal Decomposition with Automatic Basis Extraction for Low-Rank Matrix Approximation
par: Shen, Weijie, et autres
Publié: (2024)

Precision-induced Adaptive Randomized Low-Rank Approximation for SVD and Matrix Inversion
par: Xu, Weiwei, et autres
Publié: (2026)

Implicit Dynamical Tensor Train Approximation for Kinetic Equations with Stiff Fokker--Planck Collisions
par: Wang, Geshuo, et autres
Publié: (2026)

High-dimensional Optimization with Low Rank Tensor Sampling and Local Search
par: Sozykin, Konstantin, et autres
Publié: (2025)

Group Sparse-based Tensor CP Decomposition: Model, Algorithms, and Applications in Chemometrics
par: Wang, Zihao, et autres
Publié: (2025)

Pass-efficient Randomized Algorithms for Low-rank Approximation of Quaternion Matrices
par: Ahmadi-Asl, Salman, et autres
Publié: (2025)

State Estimation Using Sparse DEIM and Recurrent Neural Networks
par: Farazmand, Mohammad
Publié: (2024)

QuadSync: Quadrifocal Tensor Synchronization via Tucker Decomposition
par: Miao, Daniel, et autres
Publié: (2026)

Low T-Phase Rank Approximation of Third Order Tensors
par: Kim, Taehyeong, et autres
Publié: (2026)

Efficient Computation of Tucker Decomposition for Streaming Scientific Data Compression
par: De, Saibal, et autres
Publié: (2023)

Sublinear Time Low-Rank Approximation of Toeplitz Matrices
par: Musco, Cameron, et autres
Publié: (2024)