supported by the National Natural Science Foundation of China(10471062) ;Natural Science Foundation of Jiangsu Province(BK2006184)
A class of derivative-free trust region methods is proposed for solving unconstrained optimization problems.These methods use quadratic Lagrange interpolation models.Under mild conditions,the global convergence of thi...
the National Natural Science Foundation of China(10471062);the Natural Science Foundation of Jiangsu Province(BK2006184)~~
A new limited memory symmetric rank one algorithm is proposed. It combines a modified self-scaled symmetric rank one (SSR1) update with the limited memory and nonmonotone line search technique. In this algorithm, th...
the National Natural Science Foundation of China (Grant No.10471062);the Natural Science Foundation of Jiangsu Province (Grant No. BK2006184)
The new trust region subproblem with the conic model was proposed in 2005, and was divided into three different cases. The first two cases can be converted into a quadratic model or a convex problem with quadratic con...