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本文描述了在矿物处理的实例中,用非线性程序编制数学模型,以便使用电子计算机提高劳动生产率。这种实例有:1)从旧有的尾矿坝中回收金、铀和硫;(2)铜的选矿。使用广义拉格朗日算法简化一个被约束的非线性程序成为一个非被约束的“爬山法”的序列。这种方法的主要优点似乎是:(1)模拟选矿工业特征和约束条件的适应性;(2)恰当合理地计算时间。
This paper describes the use of non-linear programming in the case of mineral processing to model mathematical models in order to improve labor productivity using electronic computers. Examples of this are: 1) recovery of gold, uranium and sulfur from old tailings dams; and (2) copper beneficiation. Using a generalized Lagrangian algorithm to simplify a constrained nonlinear program becomes a non-constrained “hill-climbing” sequence. The main advantages of this approach seem to be: (1) to simulate the suitability of the beneficiation industry features and constraints; and (2) to calculate the time properly and reasonably.