它测试ASCII等价性,因此1将不等于1.0,即使它们有相同的数值。
This tests ASCII equivalence, so 1 will not be equal to 1.0, even though they have the same numeric value.
但是传统的微分等价递归算法精度低,并且利用数值差分来求解等价失效模式,计算量大。
But its computational accuracy is low, and the computational quantity is large when numerical difference is used to solve the equivalent failure mode.
给出的典型数值计算结果证实了这种方法与有限拉盖尔·高斯函数展开法是等价的。
Typical numerical examples have been given, showing the equivalence of this method and the finite Laguerre Gauss function expansion.
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