What type of study is this?

This is a Quantitative Study study.

October 3, 2025Open Access

A Globalized Semismooth Newton Method for Prox-regular Optimization Problems

View Full Paper

Ask AI

Bookmark

Authors

This approach finds L-stationary points in nonsmooth composite optimization, suggesting efficiency over existing methods.

The proposed method converges to an L-stationary point efficiently, enhancing optimization in complex spaces.
A hybrid method combines proximal gradient and semismooth Newton techniques, showing strong performance in benchmarks.
Convergence rate is superlinear under specific error bound conditions, indicating rapid progress towards optimal solutions.
Numerical comparisons demonstrate effectiveness in solving both quasi-norm regularized and zero-norm regularization problems.

Wu et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark