Currently, there is no general algorithm to find the global optimal solution for the constrained non-linear programming problems.
目前对有约束非线性规划问题还没有通用的求全局最优解的算法。
As numerical examples we treat state constrained optimal control problems for elliptic differential equations. We also compare the established results with existing methods.
以其作数值例子，我们处理椭圆微分方程中的状态约束最优控制问题，并对既定结果与现行方法进比较。
The study results show that some constrained optimal control problems can be solved efficiently with the improved algorithm, including some singular optimal control problems.
结果表明，改进算法能较好地求解一类受约束最优控制问题，对奇异最优控制问题也能较好求解。
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