**hypercube_grid**,
a Python code which
generates a grid of points
over the interior of a hypercube in M dimensions.

The M-dimensional hypercube is the set of points (X(1),X(2),...,X(M)) such that:

A(I) <= X(I) <= B(I)

For each dimension I, a set of parameters is input:

- NS(I), the number of points along the I-th coordinate direction;
- A(I), B(I), the left and right endpoints of the I-th coordinate.
- C(I), one of 5 choices for centering the grid in the I-th coordinate.

The centering options allow the user to control the centering of the equally spaced points. This is easiest to illustrate if we look at a 1 dimensional case and assume A = 0 and B = 1. Then, using NS = 4, the centering options will produce 4 equally spaced points as follows:

- 1: 0, 1/3, 2/3, 1 (include endpoints)
- 2: 1/5, 2/5, 3/5, 4/5 (do not include endpoints)
- 3: 0, 1/4, 2/4, 3/4 (do not include right endpoint)
- 4: 1/4, 2/4, 3/4, 1 (do not include left endpoint)
- 5: 1/8, 3/8, 5/8, 7/8 (half spacing at the ends)

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

**hypercube_grid** is available in
a C version and
a C++ version and
a FORTRAN90 version and
a MATLAB version and
a Python version.

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tetrahedron_grid, a python code which computes a grid of points over the interior of a tetrahedron in 3d.

triangle_grid, a python code which computes a grid of points over the interior of a triangle in 2d.

wedge_grid, a python code which computes a grid of points over the interior of the unit wedge in 3d.

- hypercube_grid.py, the source code.
- hypercube_grid.sh, runs all the tests.
- hypercube_grid.txt, the output file.

- hypercube_grid_points_test01.xyz, a sample set of grid points written to a file.
- hypercube_grid_points_test02.xyz, a sample set of grid points written to a file.
- hypercube_grid_points_test03.xyz, a sample set of grid points written to a file.