polynomial.hermite.
hermvander
给定度的伪范德蒙矩阵。
返回度的伪范德蒙矩阵 deg 和采样点 x . 伪范德蒙矩阵的定义如下：
System Message: WARNING/2 (V [我…] = Hayi（x），)
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在哪里？ 0 <= i <= deg . 主要指标 V 索引的元素 x 最后一个指标是厄米特多项式的阶数。
如果 c 是长度系数的一维数组 n + 1 和 V 是数组 V = hermvander(x, n) 然后 np.dot(V, c) 和 hermval(x, c) 到环岛都是一样的。这种等效性对于最小二乘拟合以及对大量相同程度的厄米特级数和采样点的评估都是有用的。
V = hermvander(x, n)
np.dot(V, c)
hermval(x, c)
点数组。根据元素是否复杂，数据类型转换为float64或complex128。如果 x 是标量，它被转换为一维数组。
结果矩阵的阶数。
伪范德蒙矩阵。返回矩阵的形状为 x.shape + (deg + 1,) ，其中最后一个索引是对应的厄米特多项式的度数。数据类型将与转换后的类型相同 x .
x.shape + (deg + 1,)
实例
>>> from numpy.polynomial.hermite import hermvander >>> x = np.array([-1, 0, 1]) >>> hermvander(x, 3) array([[ 1., -2., 2., 4.], [ 1., 0., -2., -0.], [ 1., 2., 2., -4.]])