superlinear

基本解释

The global convergence and superlinear convergence are proved.
并证明了算法的全局收敛性和超级性收敛性。
The global and superlinear convergence results of the new algorithm are established.
该算法中我们允许使用非精确的方法近似求解信赖域子问题。
Under the assumptions of semismoothness, the global superlinear convergence of the smoothing Newton method was proved.
在半光滑假设条件下，证明了光滑化牛顿法具有全局超线性收敛性。
Using the comparison principle, it is proved that the proposed method is of superlinear convergence.
利用比较原理，间接证明该算法是一种具有超线性收敛性的近似牛顿法。
And under certain conditions, the global convergence and locally superlinear convergence of the method are established.
在适当的假设下，证明了该算法的全局收敛性和局部超线性收敛性。