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polyroots(c)

Return the roots (a.k.a. "zeros") of the polynomial

$$p(x) = \sum_i c[i] * x^i.$$

Notes

The root estimates are obtained as the eigenvalues of the companion matrix, Roots far from the origin of the complex plane may have large errors due to the numerical instability of the power series for such values. Roots with multiplicity greater than 1 will also show larger errors as the value of the series near such points is relatively insensitive to errors in the roots. Isolated roots near the origin can be improved by a few iterations of Newton's method.

Parameters

c : 1-D array_like

1-D array of polynomial coefficients.

Returns

out : ndarray

Array of the roots of the polynomial. If all the roots are real, then :None:None:`out` is also real, otherwise it is complex.

Compute the roots of a polynomial.

See Also

numpy.polynomial.chebyshev.chebroots
numpy.polynomial.hermite.hermroots
numpy.polynomial.hermite_e.hermeroots
numpy.polynomial.laguerre.lagroots
numpy.polynomial.legendre.legroots

Examples

>>> import numpy.polynomial.polynomial as poly
... poly.polyroots(poly.polyfromroots((-1,0,1))) array([-1., 0., 1.])
>>> poly.polyroots(poly.polyfromroots((-1,0,1))).dtype
dtype('float64')
>>> j = complex(0,1)
... poly.polyroots(poly.polyfromroots((-j,0,j))) array([ 0.00000000e+00+0.j, 0.00000000e+00+1.j, 2.77555756e-17-1.j]) # may vary
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.polynomial.hermite_e.hermeroots numpy.polynomial.chebyshev.chebroots numpy.polynomial.hermite.hermroots numpy.polynomial.polynomial.polyvalfromroots numpy.polynomial.legendre.legroots numpy.polynomial.laguerre.lagroots

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GitHub : /numpy/polynomial/polynomial.py#1405
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