其中一个是找出一个函数的极小值，极大值，这个函数的变量是相关的，这种方法称为拉格朗日乘数法。
One of them is to find the minimum of a maximum of a function when the variables are not independent, and that is the method of Lagrange multipliers.
最大能量法的结果受初始静校正量的影响，它的解容易陷入目标函数的局部极小值。
The result of maximum energy method depends on the initial values of residual statics. The solution is often trapped into the local minimum of the objective function.
极大极小问题是一类不可微优化问题，熵函数法是求解这类问题的一种有效算法。
Minimax problem is a sort of non-differentiable optimization problem and the entropy function method provides a efficient approach to solve such kind of problems.
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