Image de couverture de livre

A two-phase rank-based algorithm for low-rank matrix completion

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Araújo, Tacildo de Souza, Gonçalves, Douglas S., Torezzan, Cristiano
Format:	Preprint
Publié:	2022
Sujets:	Optimization and Control Numerical Analysis
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Gauss-Southwell type descent methods for low-rank matrix optimization
par: Olikier, Guillaume, et autres
Publié: (2023)

A Riemannian rank-adaptive method for higher-order tensor completion in the tensor-train format
par: Vermeylen, Charlotte, et autres
Publié: (2024)

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

Variable projection framework for the reduced-rank matrix approximation problem by weighted least-squares
par: Terray, Pascal
Publié: (2025)

Full- and low-rank exponential midpoint schemes for forward and adjoint Lindblad equations
par: Chen, Hao, et autres
Publié: (2025)

Riemannian optimization using three different metrics for Hermitian PSD fixed-rank constraints: an extended version
par: Zheng, Shixin, et autres
Publié: (2022)

Optimization over bounded-rank matrices through a desingularization enables joint global and local guarantees
par: Rebjock, Quentin, et autres
Publié: (2024)

Suboptimality bounds for trace-bounded SDPs enable a faster and scalable low-rank SDP solver SDPLR+
par: Huang, Yufan, et autres
Publié: (2024)

Levenberg-Marquardt method with Singular Scaling and applications
par: Boos, Everton, et autres
Publié: (2023)

RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
par: Laufer, Eilon Vaknin, et autres
Publié: (2025)

Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models
par: Cohen, Jeremy E., et autres
Publié: (2024)

A generalization of the Newton-based matrix splitting iteration method for generalized absolute value equations
par: Li, Xuehua, et autres
Publié: (2023)

A boosted second-order convex splitting algorithm based on gradient flows
par: Shen, Xinhua, et autres
Publié: (2024)

Time-Varying Graph Signal Recovery Using High-Order Smoothness and Adaptive Low-rankness
par: Guo, Weihong, et autres
Publié: (2024)

An inexact framework of the Newton-based matrix splitting iterative method for the generalized absolute value equation
par: Yu, Dongmei, et autres
Publié: (2021)

Tensor train based sampling algorithms for approximating regularized Wasserstein proximal operators
par: Han, Fuqun, et autres
Publié: (2024)

A non-intrusive neural-network based BFGS algorithm for parameter estimation in non-stationary elasticity
par: Frei, Stefan, et autres
Publié: (2023)

On approximating the nearest Ω-stable matrix
par: Choudhary, Neelam, et autres
Publié: (2019)

Optimization methods for solving matrix equations
par: Zhang, Juan, et autres
Publié: (2024)

An approximate Itô-SDE based simulated annealing algorithm for multivariate design optimization problems
par: Batou, A.
Publié: (2019)

Solving cluster moment relaxation with hierarchical matrix
par: Wang, Yi, et autres
Publié: (2024)

A geodesic convexity-like structure for the polar decomposition of a square matrix
par: Alimisis, Foivos, et autres
Publié: (2024)

Generalized cyclic symmetric decompositions for the matrix multiplication tensor
par: Vermeylen, Charlotte, et autres
Publié: (2024)

Primal-dual interior-point algorithm for linearly constrained convex optimization based on a parametric algebraic transformation
par: Kraria, Aicha, et autres
Publié: (2024)

A preconditioned second-order convex splitting algorithm with extrapolation
par: Shen, Xinhua, et autres
Publié: (2025)

A generalized Hurwitz stability criterion via rectangular block Hankel matrices for nonmonic matrix polynomials
par: Ni, Zixiang, et autres
Publié: (2025)

Computing the matrix exponential and the Cholesky factor of a related finite horizon Gramian
par: Stillfjord, Tony, et autres
Publié: (2023)

An adaptive importance sampling algorithm for risk-averse optimization
par: Pieraccini, Sandra, et autres
Publié: (2025)

Adaptive projected SOR algorithms for nonnegative quadratic programming
par: Miyatake, Yuto, et autres
Publié: (2021)

Inexact Gauss-Newton methods with matrix approximation by sampling for nonlinear least-squares and systems
par: Bellavia, Stefania, et autres
Publié: (2023)

A non-monotone smoothing Newton algorithm for solving the system of generalized absolute value equations
par: Chen, Cairong, et autres
Publié: (2021)

Newton's Method Applied to Nonlinear Boundary Value Problems: A Numerical Approach
par: Freire, Rusdrael Antony de Araújo, et autres
Publié: (2024)

The latent variable proximal point algorithm for variational problems with inequality constraints
par: Dokken, Jørgen S., et autres
Publié: (2025)

Primal-Dual algorithms for Abstract convex functions with respect to quadratic functions
par: Bednarczuk, Ewa, et autres
Publié: (2026)

An efficient algorithm for entropic optimal transport under martingale-type constraints
par: Tang, Xun, et autres
Publié: (2025)

Primal-dual algorithm for weakly convex functions under sharpness conditions
par: Bednarczuk, Ewa, et autres
Publié: (2024)

A preconditioned third-order implicit-explicit algorithm with a difference of varying convex functions and extrapolation
par: Wu, Kelin, et autres
Publié: (2025)

Distance to nearest skew-symmetric matrix polynomials of bounded rank
par: Dmytryshyn, Andrii, et autres
Publié: (2026)

A robust and stable phase field method for structural topology optimization
par: Chen, Huangxin, et autres
Publié: (2025)

Efficient nonlocal linear image denoising: Bilevel optimization with Nonequispaced Fast Fourier Transform and matrix-free preconditioning
par: Miniguano-Trujillo, Andrés, et autres
Publié: (2024)