本文还讨论了特殊情况下算法的超线性收敛性。
The superlinear convergence for some special cases is also discussed.
此外，在不需要严格互补的温和条件下，我们证明了算法的全局收敛性和超线性收敛性。
Under mild assumptions without the strict complementarity, it is shown that the proposed algorithm enjoys the properties of global and superlinear convergence.
研究球形约束变分不等式求解的算法，提出一种光滑化牛顿方法，证明了该方法具有全局收敛性和超线性收敛。
In this paper we present a smoothing Newton method for solving ball constrained variational inequalities. Global and superlinear convergence theorems of the proposed method are established.
在适当的假设条件下，我们证明了算法具有全局收敛性和超线性收敛性。
Under mild conditions, we establish the global and superlinear convergence results for the method.
作为结果，算法具有全局和超线性收敛性。
As a result, the proposed algorithm has global and superlinear convergence.
在一定的假设条件下，证明了该算法的全局收敛性和超线性收敛。
Under some conditions, the global convergence and the super-linear convergence are proven.
给出一种新的非单调信赖域方法，证明了算法的全局收敛性和超线性收敛性，最后给出了数值结果。
A new nonmonotonic trust region method is given in this paper. And its global convergence and superlinear convergence are proved. Numerical results are given.
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。
It was proved that, when the objective function was uniformly convex, this algorithm possessed superlinear convergence.
提出复合非光滑优化问题的一类算法，并证明这种算法保持全局收敛性且敛速达到超线性。
This paper discusses a model algorithm for composite nonsmooth optimization problems and proves that the algorithm holds global convergence and in the meantime the convergent rate is superlinear.
在适当的条件下，比较新颖的证明了算法的全局收敛性及超线性收敛性。
The global convergence and superlinear convergence results of algorithm are novel proved under proper conditions.
在一般假设条件下，证明了算法的全局收敛性和超线性收敛性。
Under the general assumption, the algorithm of global convergence and superlinear convergence are proved.
在适当的条件下，该算法也具有收敛性和超线性收敛性。
Under mild conditions, we prove that the global convergence and superlinear convergence of our algorithm under suitable conditions.
在适当的条件下，该算法也具有收敛性和超线性收敛性。
Under mild conditions, we prove that the global convergence and superlinear convergence of our algorithm under suitable conditions.
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