approximate derivative

基本解释

With the aid of the approximate second derivative, the LM algorithm is more efficient than the gradient method.
由于利用了近似的二阶导数信息，LM算法比梯度法快得多。
The results of classical cases indicate that the sensitivity derivative gained by approximate method has good accuracy and the inverse design can be completed efficiently with reduced total CPU time.
典型的算例结果表明简化方法计算得到的敏感性导数具较高的精度，能够有效完成反问题设计且减少总的计算耗时。
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Because of the finite sample size, the precise limit and derivative does not exist. However, the approximate derivative will provide insight into the game balance.
因为样本大小有限，精确极限和导数不存在，最近似的导数可以洞悉游戏平衡性。
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