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- 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。
- 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。
- We also prove that the algorithm has superlinear convergence rates under some mild conditions. 最后还证明了在较弱假设条件下，它具有局部超线性收敛性。
- The global and superlinear convergence of the method is obtained under very mild conditions. 在较弱的条件下;证明了算法的全局收敛性.
- At last, this paper completes the local superlinear convergence of BFGS, DFP, PSB methods based on the class of quasi-Newton equations. 最后，本文证明了基于该类拟牛顿方程的BFGS，PSB，DFP拟牛顿法的收敛阶。
- Global convergence and local superlinear convergence rate of the proposed algorithm are established on some reasonable conditions. 在合理的假设条件下，证明了算法的整体收敛性与局部超线性收敛速率。
- In particular, it has both global convergence and local superlinear convergence with less computation and weaker assumptions. 并且算法不再计算广义投影矩阵，使计算量大大减小。
- By means of the penalty function method and the project variable metric algorithm, we obtain a revised method with its global convergence and superlinear convergence rate. 利用罚函数和投影变尺度方法，得到了一个修正的算法及其全局收敛与超线性收敛率。
- The global and superlinear convergence of the proposed method under suitable conditions is proved.Numerical results show that the proposed method is successful. 证明在适当的条件下，该方法的全局收敛性和超线性收敛性，给出数值检验结果。
- The Q-N method is one of the ways for unconstrainedoptimization.Discuss a modified Q-N method based on new Q-N equation,and get the local superlinear convergence of it. 关键词：新拟牛顿方程,局部超线性收敛性,无约束极小化,修正拟牛顿法|全部关键词
- With the idea of active set, per single iteration, it is only necessary to solve three systems of linear equations.Under certain conditions, its global and superlinear convergence are obtained. 在每次迭代中，基于积极约束集策略，该算法只需求解三个线性方程组，因而其计算工作量较小。
- Under suitable assumptions we prove that the new algorithm is not only globally convergent, it also has a local superlinear convergence rate. 该算法无需计算拉格朗日函数的海色矩阵，并且在适当的假设下，算法具有全局和局部超线性收敛性。
- rate, and futher analyze the superlinear convergence property of this method. 假设条件下,证明了算法的全局收敛性,线性收敛速度并分析了超线性收敛特征。
- A town at the convergence of two rivers. 位于两条河流交点处的城镇
- Locally Superlinear Convergence of a Modified BFGS Method for Constrained Optimization 约束问题修正BFGS方法的局部超线性收敛性
- 8. At last, this paper completes the local superlinear convergence of BFGS, DFP, PSB methods based on the class of quasi-Newton equations. 最后，本文证明了基于该类拟牛顿方程的BFGS，PSB，DFP拟牛顿法的收敛阶。收藏指正
