An optimal solution would require linear programming techniques with much less trivial code.
最佳解决方案需要线性编程技术，而且所需的代码更少。
Multiple optimal solutions to the linear programming problem by the simplex method for specific feasible regions sometimes might lead to a loss of efficiency.
用单纯形法求解线性规划问题的多最优解，对一类特殊的可行域，有时会导致失效。
This paper discusses how to found its optimal model through the analysis of model check countermeasure and proposes its solution based on linear and non-linear programming.
通过对模型校验策略的分析，讨论了如何建立这一问题的优化模型，并给出了基于线性规划和非线性规划的模型求解方法。
应用推荐