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
Multiply one polynomial to another in Python
To multiply one polynomial to another, use the numpy.polynomial.polynomial.polymul() method in Python. Returns the multiplication of two polynomials c1 + c2. The arguments are sequences of coefficients from lowest order term to highest, i.e., [1,2,3] represents the polynomial 1 + 2*x + 3*x**2.
The method returns the coefficient array representing their sum. The parameters c1 and c2 are the 1-D arrays of coefficients representing a polynomial, relative to the “standard” basis, and ordered from lowest order term to highest.
This numpy.polynomial.polynomial module provides a number of objects useful for dealing with polynomials, including a Polynomial class that encapsulates the usual arithmetic operations.
Steps
At first, import the required libraries-
from numpy.polynomial import polynomial as P
Declare Two Polynomials −
p1 = (4,1,6) p2 = (2,5,3)
Display the polynomials −
print("Polynomial 1...\n",p1)
print("\nPolynomial 2...\n",p2)To multiply one polynomial to another, use the numpy.polynomial.polynomial.polymul() method in Python −
mulRes = P.polymul(p1,p2);
print("\nResult (Multiply)...\n",mulRes)Example
from numpy.polynomial import polynomial as P
# Declare Two Polynomials
p1 = (4,1,6)
p2 = (2,5,3)
# Display the polynomials
print("Polynomial 1...\n",p1)
print("\nPolynomial 2...\n",p2)
# To multiply one polynomial to another, use the numpy.polynomial.polynomial.polymul() method in Python.
mulRes = P.polymul(p1,p2);
print("\nResult (Multiply)...\n",mulRes)Output
Polynomial 1... (4, 1, 6) Polynomial 2... (2, 5, 3) Result (Multiply)... [ 8. 22. 29. 33. 18.]
1K+ Views
