Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Generate a Vandermonde matrix of the Chebyshev polynomial in Python
To generate a Vandermonde matrix of the Chebyshev polynomial, use the chebyshev.chebvander() in Python Numpy. The method returns the Vandermonde matrix. The shape of the returned matrix is x.shape + (deg + 1,), where The last index is the degree of the corresponding Chebyshev polynomial. The dtype will be the same as the converted x.
The parameter, a is Array of points. The dtype is converted to float64 or complex128 depending on whether any of the elements are complex. If x is scalar it is converted to a 1-D array. The parameter, deg is the degree of the resulting matrix.
Steps
At first, import the required library −
import numpy as np from numpy.polynomial import chebyshev as C
Create an array −
x = np.array([0, 1, -1, 2])
Display the array −
print("Our Array...\n",x)Check the Dimensions −
print("\nDimensions of our Array...\n",x.ndim)Get the Datatype −
print("\nDatatype of our Array object...\n",x.dtype)Get the Shape −
print("\nShape of our Array object...\n",x.shape)To generate a Vandermonde matrix of the Chebyshev polynomial, use the chebyshev.chebvander() in Python −
print("\nResult...\n",C.chebvander(x, 2))Example
import numpy as np
from numpy.polynomial import chebyshev as C
# Create an array
x = np.array([0, 1, -1, 2])
# Display the array
print("Our Array...\n",x)
# Check the Dimensions
print("\nDimensions of our Array...\n",x.ndim)
# Get the Datatype
print("\nDatatype of our Array object...\n",x.dtype)
# Get the Shape
print("\nShape of our Array object...\n",x.shape)
# To generate a Vandermonde matrix of the Chebyshev polynomial, use the chebyshev.chebvander() in Python Numpy
print("\nResult...\n",C.chebvander(x, 2))Output
Our Array... [ 0 1 -1 2] Dimensions of our Array... 1 Datatype of our Array object... int64 Shape of our Array object... (4,) Result... [[ 1. 0. -1.] [ 1. 1. 1.] [ 1. -1. 1.] [ 1. 2. 7.]]
155 Views
