Cover Image

A Scale-Shape Dual Newton Method for Entropic Least Squares

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barnfield, Nicholas, Burke, James V., Friedlander, Michael P., Hoheisel, Tim
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control Numerical Analysis 90C25, 90C53, 65K05, 49N15
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lipschitz stability of least-squares problems regularized by functions with $\mathcal{C}^2$-cone reducible conjugates
by: Cui, Ying, et al.
Published: (2024)

Augmented Lagrangian methods for fully convex composite optimization
by: De Marchi, Alberto, et al.
Published: (2025)

Adaptive Multilevel Newton: A Quadratically Convergent Optimization Method
by: Tsipinakis, Nick, et al.
Published: (2025)

A Single-Loop Stochastic Proximal Quasi-Newton Method for Large-Scale Nonsmooth Convex Optimization
by: Song, Yongcun, et al.
Published: (2024)

Stability of Nonhomogeneous Split Equality and Split Feasibility Problems with Possibly Nonconvex Constraint Sets
by: Huong, Vu Thi, et al.
Published: (2024)

Stability analysis of split equality and split feasibility problems
by: Huong, Vu Thi, et al.
Published: (2024)

Practical Regularized Quasi-Newton Methods with Inexact Function Values
by: Hamaguchi, Hiroki, et al.
Published: (2026)

ItsOPT: An inexact two-level smoothing framework for nonconvex optimization via high-order Moreau envelope
by: Kabgani, Alireza, et al.
Published: (2024)

ItsDEAL: Inexact two-level smoothing descent algorithms for weakly convex optimization
by: Kabgani, Alireza, et al.
Published: (2025)

Adaptive Inertial Method
by: Long, Han, et al.
Published: (2025)

MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
by: Ang, Andersen, et al.
Published: (2023)

On a robust approach to "split" feasibility problems: solvability and global error bound conditions
by: Uderzo, Amos
Published: (2025)

Projected gradient descent accumulates at Bouligand stationary points
by: Olikier, Guillaume, et al.
Published: (2024)

An Interior-Point Algorithm for Continuous Nonlinearly Constrained Optimization with Noisy Function and Derivative Evaluations
by: Curtis, Frank E., et al.
Published: (2025)

A Trust Region Proximal Gradient Method for Nonlinear Multi-objective Optimization Problems
by: Ansary, Md Abu Talhamainuddin
Published: (2024)

Parameter-Free Accelerated Quasi-Newton Method for Nonconvex Optimization
by: Marumo, Naoki
Published: (2025)

Stochastic Inertial Dynamics Via Time Scaling and Averaging
by: Maulen-Soto, Rodrigo, et al.
Published: (2024)

Convergence analysis of a primal-dual optimization-by-continuation algorithm
by: Loris, Ignace, et al.
Published: (2023)

A preconditioned difference of convex functions algorithm with extrapolation and line search
by: Zhang, Ran, et al.
Published: (2025)

A Scalable Method for Optimal Path Planning on Manifolds via a Hopf-Lax Type Formula
by: Huynh, Edward, et al.
Published: (2024)

On the Convergence of Interior-Point Methods for Bound-Constrained Nonlinear Optimization Problems with Noise
by: Dezfulian, Shima, et al.
Published: (2024)

Proximal Limited-Memory Quasi-Newton Methods for Nonsmooth Nonconvex Optimization
by: Dahl, Simeon vom, et al.
Published: (2026)

Truncated Huber Penalty for Sparse Signal Recovery with Convergence Analysis
by: Yang, Li, et al.
Published: (2025)

Inertial Methods with Viscous and Hessian driven Damping for Non-Convex Optimization
by: Maulen-Soto, Rodrigo, et al.
Published: (2024)

On Josephy-Halley method for generalized equations
by: Roubal, Tomáš, et al.
Published: (2025)

On the Convergence Rates of Iterative Regularization Algorithms for Composite Bi-Level Optimization
by: Shtern, Shimrit, et al.
Published: (2025)

Douglas-Rachford splitting and ADMM for nonconvex optimization: Accelerated and Newton-type linesearch algorithms
by: Themelis, Andreas, et al.
Published: (2020)

An interior-point trust-region method for nonsmooth regularized bound-constrained optimization
by: Leconte, Geoffroy, et al.
Published: (2024)

Optimization in Theory and Practice
by: Wright, Stephen J.
Published: (2025)

A $\operatorname{prox}$-Based Semi-Smooth Newton Method for TV-Minimization
by: Bartels, Sören, et al.
Published: (2026)

A Proximal Stochastic Gradient Method with Adaptive Step Size and Variance Reduction for Convex Composite Optimization
by: Fang, Changjie, et al.
Published: (2025)

Stochastic Control Methods for Optimization
by: Qiu, Jinniao
Published: (2026)

Anderson Accelerated Primal-Dual Hybrid Gradient for solving LP
by: Zhou, Yingxin, et al.
Published: (2025)

Optimization in complex spaces with the Mixed Newton Method
by: Bakhurin, Sergey, et al.
Published: (2022)

A Unified Zeroth-Order Proximal Newton-Type Framework for Composite Optimization
by: Liu, Zekun, et al.
Published: (2026)

Isolated Calmness in Regularized Convex Optimization
by: Nghia, Tran T. A., et al.
Published: (2026)

Geometric characterizations of Lipschitz stability for convex optimization problems
by: Nghia, Tran T. A.
Published: (2024)

The Influence of an Adjoint Mismatch on the Primal-Dual Douglas-Rachford Method
by: Naldi, Emanuele, et al.
Published: (2025)

A linesearch-type normal map-based semismooth Newton method for nonsmooth nonconvex composite optimization
by: Zeng, Hanfeng, et al.
Published: (2026)

On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation
by: Bollapragada, Raghu, et al.
Published: (2025)