supported by a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions;National Natural Science Foundation of China (Grant Nos. 11401315, 11625105, 11171159 and 11431102);the National Science Foundation from Jiangsu Province (Grant No. BK20140914)
Owing to its efficiency in solving some types of large-scale separable optimization problems with linear constraints, the convergence rate of the alternating direction method of multipliers(ADMM for short) has recentl...
supported by National Natural Science Foundation of China(No.11171159);the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD) of China;CNPq of Brazil
supported by National Natural Science Foundation of China (Grant Nos. 11071122 and 11171159);the Specialized Research Fund of Doctoral Program of Higher Education of China (Grant No. 20103207110002)
In this paper,we propose a derivative-free trust region algorithm for constrained minimization problems with separable structure,where derivatives of the objective function are not available and cannot be directly app...