With the diet problem, you saw how to formulate a simple, multi-variable problem, how to declare bidimensional parameters in GNU MathProg, and how to interpret the results of a minimization problem.
在日常饮食问题中，我们看到了如何对一个简单的多变量问题进行建模，如何在GNU MathProg中声明二维参数，以及如何解释最小化问题的结果。
The improvement to the method of variable combination makes the problem of dual variable separation in geometric programming with a multi difficulty degree simple and easy to solve.
对变量组合法进行了改进，使多困难度几何规划中对偶变量分离问题简单易解。
Because of the limit in modern industry sites, the frequency of the process variables detect is different. We can resolve the problem by multi frequency and multi variable control.
在工业现场由于条件的限制，很多过程变量需要的检测频率并不一样，从而带来了多频多变量的控制问题。
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