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.
The computer code and data files made available on this web page are distributed under the MIT license
hypercube_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, estimates the expected value of the distance between a pair of points randomly selected in the unit cube.
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_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.
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.