Information about the optimality conditions, if any.
有关优化条件的信息(如果有的话)。
Also, its optimality and convergence is proved.
证明了算法的最优性和收敛性。
Average sample-path optimality for DTMDP in Borel Spaces.
一般状态空间中的平均样本轨道最优性问题。
Its convergence and asymptotic optimality are proved strictly.
证明了它的收敛性和渐近最优性。
The optimality and overuse of labor in Estonian manufacturing enterprises; jaan masso et al.
爱沙尼亚制造企业中劳动力的最佳状况与过度使用。
Among classical optimization algorithms, progressive optimality algorithm is widely applied.
在经典算法中，逐次规划法的应用较为广泛。
This paper describes an efficient optimality criterion method for the optimum design of antenna structure.
本文提出了一种有效的结构优化方法——导重准则法。
Firstly, the optimality of identical sensor system for the exponential distribution family has been verified.
首先，我们确证了全同感测器系统在指数分布族的参数辨识问题上的最佳性。
Finally, we study feasibility and optimality conditions for optimization problems with equilibrium constraints.
第三部分，研究平衡约束优化问题的可行性和最优性条件。
Finally, optimality necessary and sufficient conditions for nonlinear convex semidefinite programming are proved.
并给出了非线性半定规划的最优性必要和充分条件。
Based on a potential approach, the optimality equations satisfied by the optimal stationary policies are derived.
基于性能势方法，导出了由最优平稳策略所满足的最优性方程。
A typical heuristic algorithm, TDS, can generate optimal schedule in scheduling length under optimality condition.
TDS等典型算法在优化条件下可得到该问题调度长度上的最优解。
Optimality conditions for vector optimization problem to attain strictly efficient solutions are considered in the paper.
本文研究向量优化问题在严有效解意义下的最优性条件。
The system which is employed in this method is equivalent to the optimality conditions and not to the central path conditions.
该方法所采用的系统不是等价于中心路径条件，而是等价于最优性条件本身。
Local optimality and initialization dependence disadvantages of K-means are analyzed and a PSO-based K-means algorithm is proposed.
针对K均值聚类算法依赖于初始值的选择，且容易收敛于局部极值的缺点，提出一种基于粒群优化的K均值算法。
For these two algorithms, we present formal analysis of optimality, and experimental results show that the algorithms are efficient.
文中给出了两算法优化性能的分析，实验结果也显示这些算法的效果是明显而有效的。
For control process in the systems of differential equation with constant lag necessary condition of optimality of singular control is found.
对带有常数滞后的微分方程系统的控制过程，我们给出了最优性的必要条件。
It's analyzed and inquired into optimality design of duck propeller. Mathematical models are set up. It shows it's practicable through example.
对导管螺旋桨进行优化设计的分析与探讨，建立优化数学模型，通过实例说明其可行性。
The generalized invex functions are introduced and the optimality theorems and duality theory are established for a class of variational problems.
文中引入了一类广义不变凸函数，对一类变分问题给出了最优解的充分性条件以及对偶理论。
It is proved that the optimality conditions are also sufficient if the objective function is a convex function of the plastic limit bending moment.
当目标函数是塑性极限弯矩凸函数时，证明了这一最优性条件也是最优解的充分条件。
It is discovered that convergence rate with asymptotical optimality for the proposed EB test can arbitrarily approach to 1 under certain conditions.
并发现对所提出的EB检验，在某些条件下，具有渐近最优性的收敛速率，能够任意接近于1。
Conceptual integration must follow five optimality principles, under whose constraints we can build up four types of conceptual integration networks.
概念整合要遵循五条优化原则，在优化原则制约下可以建立四种不同的概念整合网络。
Comparedwith the existing results, this method is simpler in computation and valid for the case of elliptical orbits with global optimality guaranteed.
与现有一些结果相比，这里提出的方法计算简单，而且适用于一般共面椭圆轨道情况，并保证全局最优性。
Finally, the optimality conditions for vector optimization problems with set valued maps with equality and inequality constraints are obtained with it.
最后，利用择一性定理，获得了含不等式和等式约束的广义次似凸集值映射向量最优化问题的最优性条件。
By the alternative theorem, the optimality conditions of vector extremum problems with generalized inequality constraint are established in linear space.
运用此定理，在线性空间中建立了带广义不等式约束的向量极值问题的最优性条件。
Using the alternative theorem, the optimality conditions of vector extremum problems with generalized constraint are established in ordered linear space.
在序线性空间中，利用次似凸映射的择一性定理，得出具有一般约束的向量极值问题的最优性条件。
Using the alternative theorem, the optimality conditions of vector extremum problems with generalized constraint are established in ordered linear space.
在序线性空间中，利用次似凸映射的择一性定理，得出具有一般约束的向量极值问题的最优性条件。
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