The upper semiconvergence of optimal solution set of approximations for a class of probabilistic constrained programs;
模拟实验结果表明，改进后的计数算法能够找到所有的非劣最优解。
The operation not only helps to maintain uniformity of the Pareto optimal solution set, but enhances the algorithm's searching ability.
该操作不仅起到了维持非劣最优解集均匀性的作用，而且增强了算法的搜索功能。
This paper discussed almost everywhere upper semiconvergence of optimal solution set of empirical approximations for stochastic programs.
本文对随机规划经验逼近最优解集的几乎处处上半收敛性进行了研究。
It is, then, up to the enterprise PM (or an architect) to come up with an optimal set of solution projects to implement the EA.
然后由企业PM(或架构师)提出一个最佳的解决方案项目集合来实现EA。
In principle, by putting a set of entangled qubits into a suitably tuned magnetic field, the optimal solution to a given NP-complete problem can be found in one shot.
基本上，通过将一组纠缠的量子放置于一适宜调谐的磁场中，那么给定的NP完全问题的最佳解决方案就可以立马搞定。
In addition, for the minimal rank solution set, the expression of the optimal approximation solution to a given matrix is derived.
另外，给出了中心对称最小秩解集合中与给定矩阵的最佳逼近解。
Under a general assumption, we establish directly the optimality equation for infinite time horizon average cost model and prove the existence of optimal solution in a compact action set by using p.
在一般的假设条件下 ，我们应用性能势的基本性质直接建立了无限时间水平平均代价模型的最优性方程 ，并且证明了在紧致集上最优解的存在性 。
The optimal mathematical model of technological parameter in ramie pretreatment has been set up, and the optimal solution has been found.
建立苎麻预处理工艺参数的优化数学模型并求出最优解。
By utilizing both stochastic calculus and the classical impulse control theory, we give a set of sufficient conditions for its solution in terms of optimal return function.
利用随机博弈及可评估的结构动态规划技术，提出一种使公司及客户利益都最大的最优回报计划的设计方法。
By utilizing both stochastic calculus and the classical impulse control theory, we give a set of sufficient conditions for its solution in terms of optimal return function.
利用随机博弈及可评估的结构动态规划技术，提出一种使公司及客户利益都最大的最优回报计划的设计方法。
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