摘要
牛顿法在最优化问题中占有极其重要的地位，它是一个具有二阶收敛性的选代法，但它需计算二阶导数，在原有的基础上通过增加一点的信息，得到了一族仅需计算一阶导数的带可调参数的且具有同样收敛速度的算法．
Newton's methods play an important role in problems of optimization. It is akind of iteration that is quadratic convergent However, it must calculate second orderderivative of objective function.Based on the solution prior to this paper, a calss ofmethods is gained by referring to the extra message from an added point which onlyuses first order derivative, and has an adjustable parameter and the same convergent rateas Newton's methods as well.
出处
《北京工业大学学报》
CAS
CSCD
1999年第2期7-12,共6页
Journal of Beijing University of Technology
