I need to create a function get_polynom
that will take a list of tuples (x1, y1), (x2, y2), ..., (xn, yn)
representing points and find the coefficients of the polynomial c0, c1, ..., cn
.
I can't manage to understand the task, the only tip I have is the provided part of the function:
import numpy as np
def get_polynom(coords):
...
return np.linalg.solve(a, b)
Have somebody done something similar? Just a little explanation of what exactly is expected would be great!
Thanks in advance!
CodePudding user response:
A polynomial is a function f(x) = cn x^n ... c1 x c0
. With the pair of tuples you get n 1 equations of the form f(xi) = yi
for i going from 1 to n 1. If you substitute xi
and yi
in the first equation, you obtain a linear system of n equations, with the unknowns cn
to c0
. Writing this in matrix form, you get A*C = B
.
The a
argument of the np.linalg.solve
represents the A
matrix, in this case the "weights" of the polynomial coefficients - that is the powers of x (e.g. one row will be [xi^n, xi^(n-1), ..., xi, 1]
). The b
argument will be the vector of yi
.
Note that if your polynomial is of degree n, you need n 1 tuples to solve for its coefficients.