flopscope.numpy.polyadd
fnp.polyadd(a1, a2)[flopscope source][numpy source]
Find the sum of two polynomials.
Adapted from NumPy docs np.polyadd
Add two polynomials. Cost: size of the axis-0 zero-padded, broadcast-aligned add result (== numpy.polyadd(a1, a2).size; reduces to max(n1, n2) for 1-D inputs).
This forms part of the old polynomial API. Since version 1.4, the new polynomial API defined in flops.polynomial is preferred. A summary of the differences can be found in the transition guide.
Returns the polynomial resulting from the sum of two input polynomials. Each input must be either a poly1d object or a 1D sequence of polynomial coefficients, from highest to lowest degree.
Parameters
- a1, a2:array_like or poly1d object
Input polynomials.
Returns
- out:ndarray or poly1d object
The sum of the inputs. If either input is a poly1d object, then the output is also a poly1d object. Otherwise, it is a 1D array of polynomial coefficients from highest to lowest degree.
See also
- poly1d A one-dimensional polynomial class.
- we.flops.poly
- we.flops.polyadd
- we.flops.polyder
- we.flops.polydiv
- we.flops.polyfit
- we.flops.polyint
- we.flops.polysub
- we.flops.polyval
Examples
>>> import flopscope.numpy as fnp
>>> flops.polyadd([1, 2], [9, 5, 4])
array([9, 6, 6])Using poly1d objects:
>>> p1 = flops.poly1d([1, 2])
>>> p2 = flops.poly1d([9, 5, 4])
>>> print(p1)
1 x + 2
>>> print(p2)
2
9 x + 5 x + 4
>>> print(flops.polyadd(p1, p2))
2
9 x + 6 x + 6