返回Python中一維Chebyshev級數係數的縮放伴隨矩陣


要返回一維多項式係數陣列的縮放伴隨矩陣,請在Python Numpy中返回chebyshev.chebcompanion()方法。基多項式已縮放,以便當c是Chebyshev基多項式時,伴隨矩陣是對稱的。這比未縮放的情況提供了更好的特徵值估計,並且對於基多項式,如果使用numpy.linalg.eigvalsh獲得特徵值,則保證特徵值是實數。該方法返回維度為(deg, deg)的縮放伴隨矩陣。引數c是從低到高階排列的一維Chebyshev級數係數陣列。

步驟

首先,匯入所需的庫:

import numpy as np
from numpy.polynomial import chebyshev as C

建立一個一維繫數陣列:

c = np.array([1, 2, 3])

顯示陣列:

print("Our Array...\n",c)

檢查維度:

print("\nDimensions of our Array...\n",c.ndim)

獲取資料型別:

print("\nDatatype of our Array object...\n",c.dtype)

獲取形狀:

print("\nShape of our Array object...\n",c.shape)

要返回一維多項式係數陣列的縮放伴隨矩陣,請在Python Numpy中返回chebyshev.chebcompanion()方法:

print("\nResult...\n",C.chebcompanion(c))

示例

import numpy as np
from numpy.polynomial import chebyshev as C

# Create a 1D array of coefficients
c = np.array([1, 2, 3])

# Display the array
print("Our Array...\n",c)

# Check the Dimensions
print("\nDimensions of our Array...\n",c.ndim)

# Get the Datatype
print("\nDatatype of our Array object...\n",c.dtype)

# Get the Shape
print("\nShape of our Array object...\n",c.shape)

# To return the scaled companion matrix of a 1-D array of polynomial coefficients, return the chebyshev.chebcompanion() method in Python Numpy
print("\nResult...\n",C.chebcompanion(c))

輸出

Our Array...
   [1 2 3]

Dimensions of our Array...
1

Datatype of our Array object...
int64

Shape of our Array object...
(3,)

Result...
   [[ 0. 0.47140452]
   [ 0.70710678 -0.33333333]]

更新於:2022年3月1日

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