Levi N. 13 Function
Mathematical Definition
\[f(x, y) = sin^2(3\pi x)+(x-1)^2(1+sin^2(3\pi y))+(y-1)^2(1+sin^2(2\pi y))\]Plots
The contour of the function is as presented below:
Description and Features
- The function is continuous.
- The function is not convex.
- The function is defined on 2-dimensional space.
- The function is multimodal.
- The function is differentiable.
- The function is non-separable.
Input Domain
The function can be defined on any input domain but it is usually evaluated on $x \in [-10, 10]$ and $y \in [-10, 10]$ .
Global Minima
The function has one global minimum $f(\textbf{x}^{\ast})=0$ at $\textbf{x}^{\ast} = (1, 1)$.
Implementation
Python
For Python, the function is implemented in the benchmarkfcns package, which can be installed from command line with pip install benchmarkfcns
.
from benchmarkfcns import levin13
print(levin13([[0, 0],
[1, 1]]))
MATLAB
An implementation of the Levi N. 13 Function with MATLAB is provided below.
% Computes the value of the Levi N. 13 benchmark function.
% SCORES = LEVIN13FCN(X) computes the value of the Levi N. 13 function at
% point X. LEVIN13FCN accepts a matrix of size M-by-2 and returns a
% vetor SCORES of size M-by-1 in which each row contains the function value
% for the corresponding row of X.
% For more information please visit:
% https://en.wikipedia.org/wiki/Test_functions_for_optimization
%
% Author: Mazhar Ansari Ardeh
% Please forward any comments or bug reports to mazhar.ansari.ardeh at
% Google's e-mail service or feel free to kindly modify the repository.
function scores = levin13fcn(x)
n = size(x, 2);
assert(n == 2, 'Levi''s function is only defined on a 2D space.')
X = x(:, 1);
Y = x(:, 2);
scores = sin(3 * pi * X) .^ 2 + ...
((X - 1).^2) .* (1 + sin(3 * pi * Y) .^ 2) + ...
((Y - 1).^2) .* (1 + sin(2 * pi * Y) .^ 2);
end
The function can be represented in Latex as follows:
f(x, y) = sin^2(3\pi x)+(x-1)^2(1+sin^2(3\pi y))+(y-1)^2(1+sin^2(2\pi y))