:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhao, Yanan, Dong, Qiaoli, Zhao, Yufei, Wu, Chunlin
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2501.04491
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fast algorithm for sparse least trimmed squares via trimmed-regularized reformulation
by: Yagishita, Shotaro
Published: (2024)

An efficient sieving based secant method for sparse optimization problems with least-squares constraints
by: Li, Qian, et al.
Published: (2023)

An iterative algorithm for the square-root Lasso
by: Boccacci, Patrizia, et al.
Published: (2025)

A derivative-free Levenberg-Marquardt method for sparse nonlinear least squares problems
by: Feng, Yuchen, et al.
Published: (2025)

A double iteratively reweighted algorithm for solving group sparse nonconvex optimization models
by: Nie, Wanqin, et al.
Published: (2025)

Geometrically robust least squares through manifold optimization
by: Coulson, Jeremy, et al.
Published: (2025)

A derivative-free regularization algorithm for equality constrained nonlinear least squares problems
by: Chen, Xi, et al.
Published: (2025)

An automatic system to detect equivalence between iterative algorithms
by: Zhao, Shipu, et al.
Published: (2021)

Generic linear convergence for algorithms of non-linear least squares over smooth varieties
by: Hu, Shenglong, et al.
Published: (2025)

A fast iterative PDE-based algorithm for feedback controls of nonsmooth mean-field control problems
by: Reisinger, Christoph, et al.
Published: (2021)

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

$\ell_1$DecNet+: A new architecture framework by $\ell_1$ decomposition and iteration unfolding for sparse feature segmentation
by: Ren, Yumeng, et al.
Published: (2022)

A least-square method for non-asymptotic identification in linear switching control
by: Sun, Haoyuan, et al.
Published: (2024)

A variable dimension sketching strategy for nonlinear least-squares
by: Bellavia, Stefania, et al.
Published: (2025)

Complexity analysis of regularization methods for implicitly constrained least squares
by: Onwunta, Akwum, et al.
Published: (2023)

A policy iteration algorithm for non-Markovian control problems
by: Possamaï, Dylan, et al.
Published: (2024)

High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance
by: Balasubramanian, Krishnakumar, et al.
Published: (2023)

Regularized higher-order Taylor approximation methods for nonlinear least-squares
by: Nabou, Yassine, et al.
Published: (2025)

Exponential convergence of general iterative proportional fitting procedures
by: Eckstein, Stephan, et al.
Published: (2025)

A gradient flow method for smooth splines versus least-squares fitting on Riemannian manifolds
by: Lin, Chun-Chi, et al.
Published: (2024)

Multi-frequency tracking via group-sparse optimal transport
by: Haasler, Isabel, et al.
Published: (2024)

Preconditioned Halpern iteration with adaptive anchoring parameters and an acceleration to Chambolle--Pock algorithm
by: Lv, Fangbing, et al.
Published: (2025)

A note on the generalised Hessian of the least squares associated with systems of linear inequalities
by: Dolgopolik, M. V.
Published: (2024)

Robustness of quantum algorithms: Worst-case fidelity bounds and implications for design
by: Berberich, Julian, et al.
Published: (2025)

Smooth, globally Polyak-Łojasiewicz functions are nonlinear least-squares
by: Boumal, Nicolas, et al.
Published: (2026)

Asynchronous progressive iterative approximation method for least-squares fitting
by: Wu, Nian-Ci, et al.
Published: (2022)

Concentration inequalities for semidefinite least squares based on data
by: Fabiani, Filippo, et al.
Published: (2025)

A fast continuous time approach for non-smooth convex optimization with time scaling and Tikhonov regularization
by: Csetnek, Robert Ernö, et al.
Published: (2022)

Rate of metastability of an iterative algorithm for quadratic optimization
by: Firmino, Paulo
Published: (2025)

A metric function for dual quaternion matrices and related least-squares problems
by: Ling, Chen, et al.
Published: (2024)

Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning
by: Philippenko, Constantin, et al.
Published: (2023)

Reduced order method based Anderson-type acceleration method for nonlinear least square problems and large scale ill-posed problems
by: Ito, Kazufumi, et al.
Published: (2025)

ResQPASS: an algorithm for bounded variable linear least squares with asymptotic Krylov convergence
by: Symoens, Bas, et al.
Published: (2023)

Risk reversal for least squares estimators under nested convex constraints
by: Al-Ghattas, Omar
Published: (2026)

A non-iterative polynomial algorithm for linear programming
by: Jing-Yuan, Wei
Published: (2013)

Two-stage stochastic algorithm for solving large-scale (non)-convex separable optimization problems under affine constraints
by: Dubois-Taine, Benjamin, et al.
Published: (2026)

Exploring iterative and non-iterative Fourier series-based methods of control optimization in application to a discontinuous capsule drive model
by: Zarychta, Sandra, et al.
Published: (2024)

Error dynamics of mini-batch gradient descent with random reshuffling for least squares regression
by: Lok, Jackie, 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)

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