研究任意随机变量序列的强收敛性。
The strong convergence of the arbitrary stochastic sequences is studied.
证明了样本自相关函数的强收敛性，并得到了强收敛速度。
The strong convergence of sample autocorrelation is proved, and the convergence rate is obtained.
在一个很广泛的信赖域半径选择规则下，证明了算法的强收敛性。
The strong convergence of the algorithm under a general choice for radius of trust region is proved.
为此引入具有强收敛性的免疫遗传算子(IGO)，测试表明结合算法IGO - PG A改进了PGA的性能。
Immune Genetic operator (IGO) is a strong convergence operator, combined with which PGA's performance can be improved.
结果表明，该种混合条元能有效地减小计算工作量，具有适用性强、收敛性好等特点。
It shows that this type of compound finite strip_element can lighten the computing workload, and it is of great applicability and good convergence.
与传统的逐次逼近解法(SAM)相比，该方法收敛性强，应用范围广，可适用于高电导率对比地层。
The method converges faster than conventional successive approximation method (SAM) and can be applied to high conductivity contrast formation.
本文研究了系数为强单调算子的椭圆型偏微分方程，得到了解的梯度的几乎处处收敛性。
In this paper, we study the elliptic partial differential Cquation whose coefficients are strongly monotony operators, and obtain the everywhere convergence of the gradients of solutions.
在适当的条件下，证明了该完全广义强非线性拟变分包含解的存在性及唯一性，并且得到了迭代算法的收敛性和几乎稳定性。
Under suitable conditions, the existence and uniqueness of solutions of the that inclusion and the convergence and almost stability of the sequence generated by the iterative al.
在已有的基础上探讨了它的半局部收敛性，利用强函数原理，在一定的条件下给出并证明不精确牛顿法的半局部收敛性。
There have many papers for its local convergence, This paper probes into the semi-local convergence using a majorant function principle on some weak condition.
基于多重线涡模型（MLVM），本文建立了一种计算机时少、收敛性强的适用于大迎角涡流势流数值模拟的迭代算法。
A robust iterative method suitable for the numerical simulation of vortex flows at high angles-of-attack is established based upon the multiple line-vortex model (MLVM).
人工鱼群算法(AFSA)是一种新型的寻优策略，它具有鲁棒性强，全局收敛性好，以及对初值的不敏感性等优点。
Artificial Fish-Swarm Algorithm (AFSA) is a novel optimizing method. It has a strong robustness and good global astringency, and it is also proved to be insensitive to initial values.
本文针对常规遗传算法缺点，根据具体问题的特征，对火电厂内机组优化组合中的遗传算法从各个环节进行了改进，实例计算表明，该方法收敛性好、适应性强、能更有效地达到或接近全局最优。
To the weakness of Genetic Algorithm(GA)and based on the character of the practical question, a refined GA is presented in this paper to optimize the unit commitment in the thermal power plant.
本文针对常规遗传算法缺点，根据具体问题的特征，对火电厂内机组优化组合中的遗传算法从各个环节进行了改进，实例计算表明，该方法收敛性好、适应性强、能更有效地达到或接近全局最优。
To the weakness of Genetic Algorithm(GA)and based on the character of the practical question, a refined GA is presented in this paper to optimize the unit commitment in the thermal power plant.
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