**hypercube_surface_distance**,
a Python code which
estimates the expected value of the distance
between a pair of points randomly selected
on the surface of the unit hypercube in D dimensions.

The computer code and data files made available on this web page are distributed under the MIT license

**hypercube_surface_distance** is available in
a MATLAB version and
a Python version.

ball_distance, a Python code which estimates the expected value of the distance between a pair of points randomly selected in the unit ball in 3D.

circle_distance, a Python code which estimates the expected value of the distance between a pair of points randomly selected on the circumference of the unit circle in 2D.

cube_distance, a Python code which estimates the expected value of the distance between a pair of points randomly selected in the unit cube in 3D.

cube_surface_distance, a Python code which estimates the expected value of the distance between a pair of points randomly selected on the surface of the unit cube.

disk_distance, a Python code which estimates the expected value of the distance between a pair of points randomly selected in the unit disk in 2D.

ellipse_distance, a Python code which computes the expected value of the distance between a pair of points randomly selected on the circumference of the ellipse (x/a)^2+(y/b)^2=1 in 2D.

hyperball_distance, a Python code which estimates the expected value of the distance between a pair of points randomly selected in the unit hyperball in M dimensions.

hypercube_distance, a Python code which estimates the expected value of the distance between a pair of points randomly selected in the M-dimensional unit hypercube.

hypersphere_distance, a Python code which estimates the expected value of the distance between a pair of points randomly selected on the unit hypersphere in M dimensions.

line_distance, a Python code which estimates the expected value of the distance between a pair of points randomly selected in the unit line segment in 1D.

normal01_multivariate_distance, a Python code which estimates the expected value of the distance between a pair of points randomly selected from an isotropic standard normal distribution in M dimensions.

sphere_distance, a Python code which estimates the expected value of the distance between a pair of points randomly selected on the surface of the unit sphere in 3D.

square_distance, a Python code which estimates the expected value of the distance between a pair of points randomly selected in the unit square in 2D.

triangle_distance, a Python code which estimates the expected value of the distance between a pair of points randomly selected in a triangle in 2D.

- hypercube_surface_distance.py, calls all the tests.
- hypercube_surface_distance.sh, runs all the tests.
- hypercube_surface_distance.txt, the output file.