This module contains some useful classes and functions for dealing with linear algebra in python 2.
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Updated
Mar 13, 2018 - Python
This module contains some useful classes and functions for dealing with linear algebra in python 2.
MapReduce to perform matrix multiplication.
Cloud Computing AWS for matrix computation in Python
lintrans is a tool to visualize linear transformations in 2D.
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Find the circumcenter and centroid of a triangle
Excercises with pyhon of: Numerica Integration, Matrix , Linear Regression, root of equations
Playing with Numbers using Python
A simple package to work with matrix operations
Simple Python matrix classes
Matrix classes for matrices that are block-tridiagonal and sparse, and simply "block sparse". These talk together, and furthermore containts an algorithm for inversion of the block-tridiagonal version. Much faster than the numpy and scipy equivalents when a particular matrix is block tridiagonal and large enough.
This project contains these methods to manipulate a matrix: - TransposeMatrix - FlipHorizontally - FlipVertically - Rotate90Clockwise - Rotate90CounterClockwise - Rotate180Clockwise - Rotate180CounterClockwise
It multiplies matrices with user-defined values, validates compatibility, and displays the resulting matrix
Demonstrate how to derive and implement the backward computing of matrix multiplication.
Curso tomado en la ESCOM, con la Dra. Sandra Diaz Santiago.
Basic matrix operations in Python
A simple perceptron based artificial neural network using python and numpy package only.
Implementing 3D shape transformations using matrix multiplication and a basic line scan-conversion algorithm. In order to run the main program, you must have a version of Python that is 3.6+ and have NumPy, Pandas, and Pillow installed.
CPU-vs-GPU
Dynamic programming algorithms
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