TY - JOUR
T1 - A semi-smooth Newton method for a special piecewise linear system with application to positively constrained convex quadratic programming
AU - Nemeth, Sandor
AU - Barrios, Jorge
AU - Bello Cruz, Jose Yunier
AU - Ferreira, Orizon
PY - 2016/8
Y1 - 2016/8
N2 - 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.
AB - 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.
U2 - 10.1016/j.cam.2016.01.040
DO - 10.1016/j.cam.2016.01.040
M3 - Article
SN - 0377-0427
VL - 301
SP - 91
EP - 100
JO - Journal of Computational and Applied Mathematics
JF - Journal of Computational and Applied Mathematics
ER -