Copertina

A generalization of the Newton-based matrix splitting iteration method for generalized absolute value equations

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Xuehua, Chen, Cairong
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Numerical Analysis Optimization and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

An inexact framework of the Newton-based matrix splitting iterative method for the generalized absolute value equation
di: Yu, Dongmei, et al.
Pubblicazione: (2021)

A generalization of the relaxation-based matrix splitting iterative method for solving the system of generalized absolute value equations
di: Li, Xuehua, et al.
Pubblicazione: (2023)

A non-monotone smoothing Newton algorithm for solving the system of generalized absolute value equations
di: Chen, Cairong, et al.
Pubblicazione: (2021)

An inverse-free fixed-time stable dynamical system and its forward-Euler discretization for solving generalized absolute value equations
di: Li, Xuehua, et al.
Pubblicazione: (2025)

A monotone block coordinate descent method for solving absolute value equations
di: Luo, Tingting, et al.
Pubblicazione: (2024)

Solutions for Underdetermined Generalized Absolute Value Equations
di: Chen, Cairong, et al.
Pubblicazione: (2024)

A generalization of the Gauss-Seidel iteration method for generalized absolute value equations
di: Luo, Tingting, et al.
Pubblicazione: (2025)

SOR-like iteration and FPI are consistent when they are equipped with certain optimal iterative parameters
di: Liu, Jiayu, et al.
Pubblicazione: (2024)

Inexact Gauss-Newton methods with matrix approximation by sampling for nonlinear least-squares and systems
di: Bellavia, Stefania, et al.
Pubblicazione: (2023)

Optimization methods for solving matrix equations
di: Zhang, Juan, et al.
Pubblicazione: (2024)

Tensor-based Dinkelbach method for computing generalized tensor eigenvalues and its applications
di: Chen, Haibin, et al.
Pubblicazione: (2025)

Convergence analysis of Lie and Strang splitting for operator-valued differential Riccati equations
di: Hansen, Eskil, et al.
Pubblicazione: (2025)

RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
di: Laufer, Eilon Vaknin, et al.
Pubblicazione: (2025)

A generalized Hurwitz stability criterion via rectangular block Hankel matrices for nonmonic matrix polynomials
di: Ni, Zixiang, et al.
Pubblicazione: (2025)

A numerical method for solving the generalized tangent vector of hyperbolic systems
di: Herty, Michael, et al.
Pubblicazione: (2024)

A class of maximum-based iteration methods for the generalized absolute value equation
di: Wu, Shiliang, et al.
Pubblicazione: (2024)

Further study on two fixed point iterative schemes for absolute value equations
di: Liu, Jiayu, et al.
Pubblicazione: (2024)

Policy iteration for nonconvex viscous Hamilton--Jacobi equations
di: Guo, Xiaoqin, et al.
Pubblicazione: (2025)

Preconditioned iterative solvers for constrained high-order implicit shock tracking methods
di: Vandergrift, Jakob, et al.
Pubblicazione: (2024)

A globally convergent Carleman-Picard method for an inverse initial-value problem for a nonlinear diffusive coagulation-fragmentation equation coagulation-fragmentation equation
di: Le, Thuy T., et al.
Pubblicazione: (2026)

A stochastic preconditioned Douglas-Rachford splitting method for saddle-point problems
di: Dong, Yakun, et al.
Pubblicazione: (2022)

An extended Gauss-Newton method for full waveform inversion
di: Gholami, Ali
Pubblicazione: (2023)

On the convergence of iterative regularization method assisted by the graph Laplacian with early stopping
di: Bajpai, Harshit, et al.
Pubblicazione: (2025)

A distributed semismooth Newton based augmented Lagrangian method for distributed optimization
di: Ma, Qihao, et al.
Pubblicazione: (2026)

Gauss-Southwell type descent methods for low-rank matrix optimization
di: Olikier, Guillaume, et al.
Pubblicazione: (2023)

Bioluminescence tomography via a shape optimization method based on a complex-valued model
di: Wu, Qianqian, et al.
Pubblicazione: (2025)

Properties of the solution set of absolute value equations and the related matrix classes
di: Hladík, Milan
Pubblicazione: (2022)

Comments on finite termination of the generalized Newton method for absolute value equations
di: Guo, Chun-Hua
Pubblicazione: (2024)

A thorough study of Riemannian Newton's Method
di: da Silva, Caio O., et al.
Pubblicazione: (2025)

A second-order method landing on the Stiefel manifold via Newton$\unicode{x2013}$Schulz iteration
di: Xiong, Xinhui, et al.
Pubblicazione: (2026)

Accelerating operator Sinkhorn iteration with overrelaxation
di: Soma, Tasuku, et al.
Pubblicazione: (2024)

H2 optimal rational approximation on general domains
di: Borghi, Alessandro, et al.
Pubblicazione: (2023)

A boosted second-order convex splitting algorithm based on gradient flows
di: Shen, Xinhua, et al.
Pubblicazione: (2024)

A two-phase rank-based algorithm for low-rank matrix completion
di: Araújo, Tacildo de Souza, et al.
Pubblicazione: (2022)

Numerically stable variants of overrelaxation for operator Sinkhorn iteration
di: Eisenmann, Henrik, et al.
Pubblicazione: (2026)

Parallel-in-iteration optimization using multigrid reduction-in-time
di: Araújo, G. H. M., et al.
Pubblicazione: (2026)

Randomized iterative methods for generalized absolute value equations: Solvability and error bounds
di: Xie, Jiaxin, et al.
Pubblicazione: (2024)

Newton's Method Applied to Nonlinear Boundary Value Problems: A Numerical Approach
di: Freire, Rusdrael Antony de Araújo, et al.
Pubblicazione: (2024)

Inexact Newton Methods for Solving Generalized Equations on Riemannian Manifolds
di: Louzeiro, Mauricio S., et al.
Pubblicazione: (2023)

An iterative process for the feasibility-seeking problem with sets that are unions of convex sets
di: Censor, Yair, et al.
Pubblicazione: (2025)