cxroots 1.1.9

Find all the roots (zeros) of a complex analytic function within a given contour in the complex plane.

cxroots

cxroots is a Python package for finding all the roots of a function, f(z), of a single complex variable within a given contour, C, in the complex plane. It requires only that:

• f(z) has no roots or poles on C

• f(z) is analytic in the interior of C

The implementation is primarily based on [KB] and evaluates contour integrals involving f(z) and its derivative f’(z) to determine the roots. If f’(z) is not provided then it is approximated using a finite difference method. The roots are further refined using Newton-Raphson if f’(z) is given or Muller’s method if not. See the documentation for a more details and a tutorial.

With Python installed you can install cxroots by entering in the terminal/command line

pip install cxroots

Example

from numpy import exp, cos, sin
f = lambda z: (exp(2*z)*cos(z)-1-sin(z)+z**5)*(z*(z+2))**2

from cxroots import Circle
C = Circle(0,3)
roots = C.roots(f)
roots.show()

print(roots)

 Multiplicity |               Root
------------------------------------------------
      2       | -2.000000000000 +0.000000000000i
      1       | -0.651114070264 -0.390425719088i
      1       | -0.651114070264 +0.390425719088i
      3       |  0.000000000000 +0.000000000000i
      1       |  0.648578080954 -1.356622683988i
      1       |  0.648578080954 +1.356622683988i
      1       |  2.237557782467 +0.000000000000i

See also

The Fortran 90 package ZEAL is a direct implementation of [KB].

Citing cxroots

R. Parini. cxroots: A Python module to find all the roots of a complex analytic function within a given contour (2018), https://github.com/rparini/cxroots

BibTex:

@misc{cxroots,
  author = {Robert Parini},
  title = {{cxroots: A Python module to find all the roots of a complex analytic function within a given contour}},
  url = {https://github.com/rparini/cxroots},
  year = {2018--}
}

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References

[KB] (1,2)

P. Kravanja and M. Van Barel. Computing the Zeros of Analytic Functions. Springer, Berlin, Heidelberg, 2000.