Skip to content

Desingularizing Functions in Convex Programming and Convergence of an Abstract Gradient Descent Algorithm

Aug 2026 · Journal of Optimization Theory and Applications · Vol 210 · 0 citations · 54 references

TL;DR

This paper introduces an approach to study what is called the canonical conditioner μf, the continuity, Lipschitz continuity, differentiability, and subdifferentiability properties of μf\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb}

View source

Similar papers

Open access Dec 2025

Adaptive Accelerated Gradient Method for Smooth Convex Optimization

The method incorporates a scheme to determine the step size adaptively, by means of a local estimation of the smoothness constant, by means of a local estimation of the smoothness constant, without resorting to line search procedures.

Zepeng Wang, J. Peypouquet · 1 citation
Open access Jul 2026

The Higher Order Regularity Problem for Elliptic Systems with Data in Banach Function Spaces

We characterize the well-posedness of the higher order regularity problem in the upper half-space with data in Sobolev Banach function spaces by proving its equivalence to natural weighted estimates for the Hardy–Littlewood maximal operator. The generality of our framework allows for applications to Lebesgue spaces, re...

Juan José Marín · 0 citations
Aug 2026

On univalent polyharmonic mappings

A. Meher, P. Gochhayat · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.