Curtis, Frank; Han, Zheng; Robinson, Daniel - In: Computational Optimization and Applications 60 (2015) 2, pp. 311-341
We present a primal-dual active-set framework for solving large-scale convex quadratic optimization problems (QPs). In contrast to classical active-set methods, our framework allows for multiple simultaneous changes in the active-set estimate, which often leads to rapid identification of the...