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essential convergence相关的网络例句

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与 essential convergence 相关的网络例句 [注:此内容来源于网络,仅供参考]

The Markov chain proved the algorithm that is strong convergence and also the convergence speed is exponent.

利用Markov链证明该算法是可收敛并且是以指数速度概率强收敛的。

Ensure global convergence of random PSO algorithm for high-dimensional functions is a strong global convergence.

保证全局收敛的随机粒子群优化算法,对于高维函数有较强的全局收敛性。

Compactness and the relation between strong convergence and weak* convergence.

紧性以及强收敛和弱收敛之间的关系。

By the way, we describe the modified quasi-Newton algorithm used the line search , and have given its global convergence and superlinear convergence.

接下来描述了采用线性搜索的修正拟Newton算法,并给出了它的全局收敛性与超线性收敛性。

Furthermore, the global convergence and superlinear convergence rate are proved under mild assumptions without the strict complementarity.

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。

The algorithm is the combination of the method with global convergence and thatwith locally superlinear convergence.

其特点之一是该方法在每步迭代中只需要计算一个或三个具有相同系数矩阵的线性方程组。

Chapter 1 put forward several new concepts and methods,such as subfeasiblemethods and strongly subfeasible methods in Definition 1.2.9,two-step quadraticallysuperlinear convergence and strong two-step quadratically superlinear convergence in Definition 1.2.7 (5,6),and so on.

第一章提出几个新的概念和方法,如定义1.2.9的次可行方法和强次可行方法,定义1.2.7(5,6)的两步超二次及强两步超二次收敛等。

In this paper, we mainlydiscuss the above functions and apply the violation constrained functions to filterSQP methods the algorithms, furthermore, we prove that the new algorithms haveglobal convergence and superlinear convergence under the mild conditions.

本文着重讨论这几种NCP类函数的性质,并把它们所定义的违反约束度函数应用于SQP算法中,并证明了在一定的条件下新的算法具有全局收敛性和超线性收敛性。

Since a new generalized projection technique is contained in the auxiliary direction formula, under some mild assumptions without the strict complementarity, the global convergence and superlinear convergence of the algorithm can be obtained.

由于一种新的广义投影技术包含在辅助方向的计算公式中,因而在无严格互补等较温和的假设下便可得到算法的全局收敛性及超线性收敛性。

LC1 unconstrained optimization problem was discussed in the second chapter, giving a new trust region method and proving its global convergence and superlinear convergence under some mild conditions .

第二章讨论了LC~1无约束优化问题。给出了一个新的信赖域算法,并在一定的条件下证明了算法的全局收敛性和局部超线性收敛性。

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针对500m口径球面射电望远镜FAST分布式控制系统的特点完成了其通信系统的设计。

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