After the discrete model of MLI has been built, the dynamic programming was applied to develop the suboptimum algorithm to achieve the optimum aim.

讨论了算法中的参数选择对误差的影响,对算法复杂度的分析与优化问的规模增阶关系。

The constructed solving process is to establish a general SBR model firstly, then to derive the suboptimum solution by trial and error method with the help of simulation tools.

所构造的解法首先建立通用的序批式反应器模型;然后借助仿真工具试差求取次优解。