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基于新拟牛顿方程的一类超线性收敛的改进BFGS算法
引用本文:王海滨.基于新拟牛顿方程的一类超线性收敛的改进BFGS算法[J].兰州理工大学学报,2007,33(4):150-152.
作者姓名:王海滨
作者单位:南通职业大学,基础部,江苏,南通,226007
摘    要:针对无约束最优化问题,在已建立的一类新拟牛顿方程的基础上,把满足于传统拟牛顿方程的一类改进BFGS算法推广到新拟牛顿方程,从而得到一类基于新拟牛顿方程的改进BFGS算法.证明该算法在目标函数为一致凸时具有局部超线性收敛性.

关 键 词:新拟牛顿方程  改进BFGS算法  局部超线性收敛性
文章编号:1673-5196(2007)04-0150-03
修稿时间:2006-03-31

A class of modified BFGS algorithm with superlinear convergence based on new quasi-Newton equation
WANG Hai-bin.A class of modified BFGS algorithm with superlinear convergence based on new quasi-Newton equation[J].Journal of Lanzhou University of Technology,2007,33(4):150-152.
Authors:WANG Hai-bin
Institution:Dept. of Basic Courses, Nantong Vocational College, Nantong 226007, China
Abstract:Aimed at unconstrained optimization problems,a class of modified BFGS algorithm suitable for traditional quasi-Newton equation was generalized to the new quasi-Newton equation,and a class of modified BFGS algorithm based on new quasi-Newton equation was obtained.It was proved that,when the objective function was uniformly convex,this algorithm possessed superlinear convergence.
Keywords:new quasi-Newton equation  modified BFGS algorithm  superlinear convergence
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