Rosenbrock.function()

Complexity

Conditions

3

Size

Total Lines

13

Duplication

Lines	0
Ratio	0 %

Importance

Changes	1
Bugs	0	Features	1

1 Method

Rating	Name	Duplication	Size	Complexity
A	Rosenbrock.evaluate()	0	9	2

"""Implementation of Rosenbrock benchmark function."""

import math

__all__ = ['Rosenbrock']


class Rosenbrock(object):

    @classmethod
    def function(cls):
        def evaluate(D, sol):
            val = 0.0

            for i in range(D - 1):
                val = val + 100 * \
                    math.pow(sol[i + 1] - math.pow((sol[i]), 2),
                             2) + math.pow((sol[i] - 1), 2)

            return val

        return evaluate