1) Local R-linear convergence
局部R-线性收敛性
3) Priestley duality
R-线性收敛
4) local convergence
局部收敛性
1.
The proof of the local convergence of the semi-implicit Euler method for a linear stochastic differential delay equation;
线性随机延迟微分方程半隐式Euler方法的局部收敛性证明
2.
Under the hypothesis that the first order derivative of a nonlinear operator f satisfied Hlder continuous condition around the zero of f(x),a local convergence theorem for this method was established in Banach spaces,and the local convergence with order 1+p was presented.
研究了一牛顿型迭代方法,即Newton-Steffensen型迭代方法的局部收敛性质。
3.
We prove the local convergence pro-perties of the algorithm assoicated with the general form of linesearch.
算法的思想是对非凸函数的近似Hesse矩阵进行修正,得到下降方向,并且保证拟牛顿条件成立,当步长采用线性搜索一般模型时,证明了该算法的局部收敛性。
5) superlinear convergence
局部超线性收敛性
1.
It was proved that,when the objective function was uniformly convex,this algorithm possessed superlinear convergence.
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。
6) local superlinear convergence
局部超线性收敛性
1.
Discuss a modified Q N method based on new Q N equation,and get the local superlinear convergence of it.
通过讨论一种基于新拟牛顿方程的修正拟牛顿法 ,给出了该算法的局部超线性收敛
补充资料：局部收敛
解方程f(x)=0的一个迭代法产生的迭代序列是否收敛于f(x)=0的一个根p，通常与初始近似值选区范围有关。
若为了保证收敛性，必须选取初始值充分接近于所要求的根（解），则称它为局部收敛。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条