Cover Image

Asynchronous progressive iterative approximation method for least-squares fitting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Nian-Ci, Liu, Cheng-Zhi
Format:	Preprint
Published:	2022
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Randomized progressive iterative approximation for B-spline curve and surface fittings
by: Wu, Nian-Ci, et al.
Published: (2022)

Integrating adaptive optimization into least squares progressive iterative approximation
by: Sajavičius, Svajūnas
Published: (2025)

On the extended randomized multiple row method for solving linear least-squares problems
by: Wu, Nian-Ci, et al.
Published: (2022)

On adaptive stochastic extended iterative methods for solving least squares
by: Zeng, Yun, et al.
Published: (2024)

A general formulation of reweighted least squares fitting
by: Giannelli, Carlotta, et al.
Published: (2024)

A randomized progressive iterative regularization method for data fitting problems
by: Cen, Dakang, et al.
Published: (2025)

Optimal sampling for least-squares approximation
by: Adcock, Ben
Published: (2024)

A comparison of mixed precision iterative refinement approaches for least-squares problems
by: Carson, Erin, et al.
Published: (2024)

On the Polyak momentum variants of the greedy deterministic single and multiple row-action methods
by: Wu, Nian-Ci, et al.
Published: (2022)

On convergence of discrete methods of least squares on equidistant nodes
by: Goertz, René
Published: (2019)

On the relaxed greedy randomized Kaczmarz methods with momentum acceleration for solving matrix equation AXB=C
by: Wu, Nian-Ci, et al.
Published: (2023)

Mixed precision sketching for least-squares problems and its application in GMRES-based iterative refinement
by: Carson, Erin, et al.
Published: (2024)

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

Efficient least squares approximation and collocation methods using radial basis functions
by: Zhou, Yiqing, et al.
Published: (2023)

The double splitting iteration method for solving the large indefinite least squares problem
by: Li, Jun, et al.
Published: (2026)

Parameter choice strategies for regularized least squares approximation of noisy continuous functions on the unit circle
by: An, Congpei, et al.
Published: (2024)

Randomized conjugate gradient least squares
by: Zeng, Yun, et al.
Published: (2026)

A deep first-order system least squares method for the obstacle problem
by: Acosta, Gabriel, et al.
Published: (2025)

Krylov iterative methods for linear least squares problems with linear equality constraints
by: Li, Haibo
Published: (2025)

Adaptive least-squares space-time finite element methods for convection-diffusion problems
by: Köthe, Christian, et al.
Published: (2025)

The GMRES method for solving the large indefinite least squares problem via an accelerated preconditioner
by: Li, Jun, et al.
Published: (2025)

Reflective block Kaczmarz algorithms for least squares
by: Shao, Changpeng
Published: (2024)

A least squares approach to Whitney forms
by: Bruno, Ludovico Bruni, et al.
Published: (2024)

Mixed precision iterative refinement for least squares with linear equality constraints and generalized least squares problems
by: Gao, Bowen, et al.
Published: (2024)

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

Analysis of the $hp$-version of a first order system least squares method for the Helmholtz equation
by: Bernkopf, Maximilian, et al.
Published: (2018)

A reduced basis method for parabolic PDEs based on a space-time least squares formulation
by: Hinze, Michael, et al.
Published: (2026)

A least-squares implicit RBF-FD closest point method and applications to PDEs on moving surfaces
by: Petras, A., et al.
Published: (2019)

On the adaptive deterministic block coordinate descent methods with momentum for solving large linear least-squares problems
by: Tan, Long-Ze, et al.
Published: (2024)

Boosted optimal weighted least-squares
by: Haberstich, Cécile, et al.
Published: (2019)

A least-squares space-time approach for parabolic equations
by: Hinze, Michael, et al.
Published: (2023)

An Arnoldi-based approach to polynomial and rational least squares problems
by: Faghih, Amin, et al.
Published: (2024)

Constrained mock-Chebyshev least squares approximation for Hermite interpolation
by: Dell'Accio, Francesco, et al.
Published: (2024)

Weighted least-squares approximation with determinantal point processes and generalized volume sampling
by: Nouy, Anthony, et al.
Published: (2023)

A weak Galerkin least squares finite element method for linear convection equations in non-divergence form
by: Wang, Chunmei, et al.
Published: (2026)

Modified least squares method and a review of its applications in machine learning and fractional differential/integral equations
by: Singh, Abhishek Kumar, et al.
Published: (2024)

Global iterative methods for sparse approximate inverses of symmetric positive-definite matrices
by: Venkovic, Nicolas, et al.
Published: (2025)

Weighted least squares subdivision schemes for noisy data on triangular meshes
by: Conti, Costanza, et al.
Published: (2025)

Stochastic gradient with least-squares control variates
by: Nobile, Fabio, et al.
Published: (2025)

An entropy-based approach for a robust least squares spline approximation
by: Brugnano, Luigi, et al.
Published: (2023)