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法律研究在Python中将一个埃尔米特级数乘以另一个埃尔米特级数
要将一个埃尔米特级数乘以另一个，请在Python Numpy中使用polynomial.hermite.hermmul()方法。此方法返回一个数组，表示其乘积的埃尔米特级数。返回两个埃尔米特级数c1 * c2的乘积。参数是从最低项到最高项的系数序列，例如[1,2,3]表示级数P_0 + 2*P_1 + 3*P_2。参数是从低到高排序的埃尔米特级数系数的1-D数组。
步骤
首先，导入所需的库−
import numpy as np from numpy.polynomial import hermite as H
创建埃尔米特级数系数的1-D数组−
c1 = np.array([1,2,3]) c2 = np.array([3,2,1])
显示系数数组−
print("Array1...\n",c1) print("\nArray2...\n",c2)
显示数据类型−
print("\nArray1 datatype...\n",c1.dtype) print("\nArray2 datatype...\n",c2.dtype)
检查两个数组的维度−
print("\nDimensions of Array1...\n",c1.ndim) print("\nDimensions of Array2...\n",c2.ndim)
检查两个数组的形状−
print("\nShape of Array1...\n",c1.shape) print("\nShape of Array2...\n",c2.shape)
要将一个埃尔米特级数乘以另一个，请在Python Numpy中使用polynomial.hermite.hermmul()方法−
print("\nResult (multiply)....\n",H.hermmul(c1, c2))
示例
import numpy as np from numpy.polynomial import hermite as H # Create 1-D arrays of Hermite series coefficients c1 = np.array([1,2,3]) c2 = np.array([3,2,1]) # Display the arrays of coefficients print("Array1...\n",c1) print("\nArray2...\n",c2) # Display the datatype print("\nArray1 datatype...\n",c1.dtype) print("\nArray2 datatype...\n",c2.dtype) # Check the Dimensions of both the arrays print("\nDimensions of Array1...\n",c1.ndim) print("\nDimensions of Array2...\n",c2.ndim) # Check the Shape of both the arrays print("\nShape of Array1...\n",c1.shape) print("\nShape of Array2...\n",c2.shape) # To multiply one Hermite series to another, use the polynomial.hermite.hermmul() method in Python Numpy # The method returns an array representing the Hermite series of their product. print("\nResult (multiply)....\n",H.hermmul(c1, c2))
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输出
Array1... [1 2 3] Array2... [3 2 1] Array1 datatype... int64 Array2 datatype... int64 Dimensions of Array1... 1 Dimensions of Array2... 1 Shape of Array1... (3,) Shape of Array2... (3,) Result (multiply).... [35. 40. 38. 8. 3.]
更新时间：01-Mar-2022
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