Copertina

A chiseling algorithm for low-rank Grassmann decomposition of skew-symmetric tensors

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Vannieuwenhoven, Nick
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Numerical Analysis 15A69, 15A75, 15A86, 65F99, 65Y20
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Distributed memory parallel adaptive tensor-train cross approximation
di: Shi, Tianyi, et al.
Pubblicazione: (2024)

Convergence of the alternating least squares algorithm for CP tensor decompositions
di: Hu, Nicholas, et al.
Pubblicazione: (2025)

Low-rank eigenvalue solvers for block-sparse matrix product states
di: Bachmayr, Markus, et al.
Pubblicazione: (2026)

Effective algorithms for tensor train decomposition via the UTV framework
di: Wang, Yuchao, et al.
Pubblicazione: (2025)

Minimality of Tree Tensor Network Ranks
di: Jovcheva, Jana, et al.
Pubblicazione: (2025)

Trace maximization algorithm for the approximate tensor diagonalization
di: Begovic, Erna, et al.
Pubblicazione: (2021)

Inexact subspace projection methods for low-rank tensor eigenvalue problems
di: Dektor, Alec, et al.
Pubblicazione: (2025)

Solving high-dimensional Kolmogorov backward equations with functional hierarchical tensor operators
di: Tang, Xun, et al.
Pubblicazione: (2024)

Convergence of a Jacobi-type method for the approximate orthogonal tensor diagonalization
di: Begovic, Erna
Pubblicazione: (2021)

A multilinear Nyström algorithm for low-rank approximation of tensors in Tucker format
di: Bucci, Alberto, et al.
Pubblicazione: (2023)

Three decompositions of symmetric tensors have similar condition numbers
di: Dewaele, Nick, et al.
Pubblicazione: (2021)

Hamiltonian and Symplectic Tensors in the T-product Algebra
di: Lopez-Moreno, Susana, et al.
Pubblicazione: (2026)

Which constraints of a numerical problem cause ill-conditioning?
di: Dewaele, Nick, et al.
Pubblicazione: (2023)

Efficient randomized algorithms for the fixed Tucker-rank problem of Tucker decomposition with adaptive shifts
di: Che, Maolin, et al.
Pubblicazione: (2025)

Randomized algorithms for streaming low-rank approximation in tree tensor network format
di: Bucci, Alberto, et al.
Pubblicazione: (2024)

Diagonal Gaussian Mixture Models and Higher Order Tensor Decompositions
di: Guo, Bingni, et al.
Pubblicazione: (2024)

Hybrid CUR-type decomposition of tensors in the Tucker format
di: Begovic, Erna
Pubblicazione: (2020)

A sequential multilinear Nyström algorithm for streaming low-rank approximation of tensors in Tucker format
di: Bucci, Alberto, et al.
Pubblicazione: (2024)

The condition number of singular subspaces, revisited
di: Vannieuwenhoven, Nick
Pubblicazione: (2022)

A tensor-based dynamic mode decomposition based on the $\star_{\boldsymbol{M}}$-product
di: Saibaba, Arvind K., et al.
Pubblicazione: (2025)

Computing excited states with isometric tensor networks in two-dimensions
di: Dektor, Alec, et al.
Pubblicazione: (2025)

Structure-Informed Bounds on the Kronecker Rank of Block-Structured Matrices
di: Fuller, Allison, et al.
Pubblicazione: (2026)

Randomized algorithms for computing the tensor train approximation and their applications
di: Che, Maolin, et al.
Pubblicazione: (2024)

Linear-Scaling Tensor Train Sketching
di: Cazeaux, Paul, et al.
Pubblicazione: (2026)

The condition number of many tensor decompositions is invariant under Tucker compression
di: Dewaele, Nick, et al.
Pubblicazione: (2021)

Hadamard-Hitchcock decompositions: identifiability and computation
di: Oneto, Alessandro, et al.
Pubblicazione: (2023)

A Family of Iterative Methods for Computing Generalized Inverses of Quaternion Matrices and its Applications
di: Karmakar, Biswarup, et al.
Pubblicazione: (2026)

Approximating maps into manifolds with lower curvature bounds
di: Jacobsson, Simon, et al.
Pubblicazione: (2024)

Decompositions and coalescing eigenvalues of symmetric definite pencils depending on parameters
di: Dieci, Luca, et al.
Pubblicazione: (2021)

Subspace-constrained randomized coordinate descent for linear systems with good low-rank matrix approximations
di: Lok, Jackie, et al.
Pubblicazione: (2025)

A Newton method for solving locally definite multiparameter eigenvalue problems by multiindex
di: Eisenmann, Henrik
Pubblicazione: (2024)

A Minimal Perturbation Approach For The Rectangular Multiparameter Eigenvalue Problem
di: Han, Shanheng, et al.
Pubblicazione: (2025)

Takagi factorization of matrices depending on parameters and locating degeneracies of singular values
di: Dieci, Luca, et al.
Pubblicazione: (2021)

HOSCF: Efficient decoupling algorithms for finding the best rank-one approximation of higher-order tensors
di: Xiao, Chuanfu, et al.
Pubblicazione: (2024)

Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding
di: He, Haoze, et al.
Pubblicazione: (2024)

A randomized algorithm for simultaneously diagonalizing symmetric matrices by congruence
di: He, Haoze, et al.
Pubblicazione: (2024)

Structured distance to singularity as a nonlinear system of equations
di: Gnazzo, Miryam, et al.
Pubblicazione: (2026)

A skew-symmetric Lanczos bidiagonalization method for computing several largest eigenpairs of a large skew-symmetric matrix
di: Huang, Jinzhi, et al.
Pubblicazione: (2022)

Tensor-structured PCG for finite difference solver of domain patterns in ferroelectric material
di: Chumchal, Věnceslav, et al.
Pubblicazione: (2025)

A generalized skew-symmetric Lanczos bidiagonalization method for computing several extreme eigenpairs of a large skew-symmetric/symmetric positive definite matrix pair
di: Huang, Jinzhi
Pubblicazione: (2024)