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1·Solve the mathematical programming problem.

数学规划问题求解。

2·Convex function plays an important role in mathematical programming.

凸函数在数学规划中具有十分重要的作用。

3·Furthermore, the comparison is made between ESO and mathematical programming.

在此过程中，还将渐进优化方法与数学规划法进行了对照。

4·Cpm; Confidence intervals; Mathematical programming; Monte Carlo simulation; Coverage percentage.

信赖区间； 数学规划； 蒙地卡罗模拟法； 涵盖率。

5·The nonlinear theory of mathematical programming was used to develop a direct iterative algorithm.

借助数学规划中的非线性理论，可构造出上述问题的直接迭代求解算法。

6·It may be seen that the deconvolution in time domain has a close relation to mathematical programming.

可见，时间域反褶积问题与数学规划问题紧密相联。

7·For the capacity planning problem at each level, a two-stage mathematical programming model is presented.

针对各阶层的产能规划问题，提出两段式产能规划数学模型。

8·How to solve it is much more complex than that of ordinary mathematical programming because of its random coefficients.

由于在系数中引入了随机变量，使得随机规划问题的求解比普通的数学规划要复杂得多。

9·Convexity and generalized convexity of functions play an important role in mathematical programming and optimal theory.

函数的凸性与广义凸性在数学规划以及最优化理论中起着非常重要的作用。

10·This paper presents a new analytical method for elastoplastic response of structures, the mathematical programming method.

介绍了结构弹塑性反应分析的一种新方法——数学规划方法。