gilp 0.0.1rc2

A Python package for visualizing the geometry of linear programs.

GILP (Geometric Interpretation of Linear Programming)

Installation

The quickest way to start using gilp is with a pip install

pip install gilp

Example

The LP class creates linear programs from (3) numpy arrays: A, b, and c which define the LP in standard inequality form.

max c^Tx
s.t. Ax <= b
x >= 0

Consider the following input.

A = np.array([[1,0], [1, 2]])
b = np.array([[2],[4]])
c = np.array([[1],[1]])
lp = LP(A,b,c)

The corresponding LP is:

max 1x_1 + 1x_2
s.t 1x_1 + 0x_2 <= 2
1x_1 + 2x_2 <= 4
x_1, x_2 >= 0

To visualize the simplex algorithm on an LP, first create a plotly figure and then use .show() to open up an HTML file or .write_html() to write an HTML file with a given name.

fig = simplex_visual(lp)
fig.show()
fig.write_html('example.html)