在 Python 中将一个 Hermite_e 级数乘以另一个


要将一个 Hermite_e 级数乘以另一个,请在 Python Numpy 中使用 polynomial.hermite.hermemul() 方法。该方法返回一个数组,表示其乘积的 Hermite_e 级数。返回两个 Hermite_e 级数 c1 * c2 的乘积。参数是有序的系数组合,从最低阶“项”到最高阶,例如 [1,2,3] 表示级数 P_0 + 2*P_1 + 3*P_2。低到高的 Hermite_e 级数系数的一维数组。

步骤

首先,导入所需的库−

import numpy as np
from numpy.polynomial import hermite_e as H

创建 Hermite_e 级数系数的一维数组−

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 Hermite_e 级数乘以另一个,请在 Python Numpy 中使用 polynomial.hermite.hermemul() 方法−

print("\nResult (multiply)....\n",H.hermemul(c1, c2))

示例

Open Compiler
import numpy as np from numpy.polynomial import hermite_e as H # Create 1-D arrays of Hermite_e 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_e series to another, use the polynomial.hermite.hermemul() method in Python Numpy print("\nResult (multiply)....\n",H.hermemul(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)....
   [13. 24. 26. 8. 3.]

更新于:10-Mar-2022

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