Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy

Last update: Oct 12, 2022

Overview

Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy

Simplex Algorithm is a popular algorithm for linear programming... link to Wikipedia! 😀

The example in Simplex.py is :

        [ 0 2 1 ]      
    A = [ 0 1 1 ]   b = [ 20 18 8 ]  c = [ 1 -7 -4 ]
        [ 0 1 0 ]

And I already test some random inputs with the use of random function in Numpy:

    A = np.random.randint(-25, 25,size = (SIZE_MATRIX_X, SIZE_MATRIX_Y))
    b = np.random.randint(-25, 25,size = SIZE_MATRIX_X)
    c = np.random.randint(-25, 25,size = (1, SIZE_MATRIX_Y))

Owner

Reda BELHAJ

BELHAJ Reda: Fourth-year Computer Science student at the International University of Rabat (UIR)

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Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy

Related tags

Overview

Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy

Owner

Reda BELHAJ

Code from Daniel Lemire, A Better Alternative to Piecewise Linear Time Series Segmentation

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