Menu
Does python have a built-in function that converts a matrix into row echelon form (also known as upper triangular)?
658
rref() method, we can put a matrix into reduced Row echelon form. Matrix(). rref() returns a tuple of two elements. The first is the reduced row echelon form, and the second is a tuple of indices of the pivot columns.
It stands for 'Numerical Python'. It is a library consisting of multidimensional array objects and a collection of routines for processing of array. Using NumPy, mathematical and logical operations on arrays can be performed.
Python does not have a straightforward way to implement a matrix data type. Python matrix can be created using a nested list data type and by using the numpy library. The python library Numpy helps to deal with arrays. Numpy processes an array a little faster in comparison to the list.
To row reduce a matrix: Perform elementary row operations to yield a "1" in the first row, first column. Create zeros in all the rows of the first column except the first row by adding the first row times a constant to each other row. Perform elementary row operations to yield a "1" in the second row, second column.
If you can use sympy, Matrix.rref() can do it:
In [8]: sympy.Matrix(np.random.random((4,4))).rref() Out[8]: ([1, 1.42711055402454e-17, 0, -1.38777878078145e-17] [0, 1.0, 0, 2.22044604925031e-16] [0, -2.3388341405089e-16, 1, -2.22044604925031e-16] [0, 3.65674099486992e-17, 0, 1.0], [0, 1, 2, 3]) If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
