vix.ing · top · new · best · stats · spec

A semi-smooth Newton method for a special piecewise linear system with application to positively constrained convex quadratic programming

2015/08/07 by Jorge Barrios, Barrios, J. G., Yunier Bello-Cruz +5
Computer Science · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Optimization and Variational Analysis

paper · pdf · doi:10.48550/arxiv.1508.01582

openalex publication_date 2015/08/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

In this paper a special piecewise linear system is studied. It is shown that, under a mild assumption, the semi-smooth Newton method applied to this system is well defined and the method generates a sequence that converges linearly to a solution. Besides, we also show that the generated sequence is bounded, for any starting point, and a formula for any accumulation point of this sequence is presented. As an application, we study the convex quadratic programming problem under positive constraints. The numerical results suggest that the semi-smooth Newton method achieves accurate solutions to large scale problems in few iterations.

Citations

Related