Join the official 2019 Python Developers Survey

Tools for working with matrices and vectors.

## Overview

This module contains some tools for linear algebra. It contains classes to define matrices and vectors, and a number of functions for working on those matrices and vectors. It is intended for mathematical and scientific use. It saved me a lot of time in a linear algebra class.

## Classes

• vector: collection which defines a vector in Cartesian coordinates
• matrix: two-dimensional collection stored in row-major order

## Functions

• AxApproxB: solves Ax approximately equal to b; for use when the rows of matrix b are not in the column space of A
• axpy: ax+y where a is a scalar, and x and y are vectors
• bestfit: used to find a line of best fit from given points
• colVec: makes a matrix with one column
• det: returns the determinant of a square matrix. Can return a cross product if the top row contains the unit vectors.
• dot: returns the dot product of two vectors
• crossProduct: Returns a cross product
• GaussJordan: solves AX=B, where matrices A and B are known and X is returned. If B is not in the column-space of A, use AxApproxB.
• identityMatrix: makes an identity matrix of a given size
• linearCombination: returns a linear combination based on a list of scalars and a list of vectors
• mmMult: matrix-matrix multiplication
• mvMult: matrix-vector multiplication
• norm: takes the norm of a vector; defaults to 2 (Euclidian norm)
• permutationMatrix: makes a permutation matrix based on a given permutation vector
• proj: projection of one vector onto another
• rowVec: makes a matrix with one row
• transpose: transposes a matrix
• unitVector: constructs a unit vector
• v: wrapper around vector instantiation
• zeroMatrix: makes a zero matrix of a given size
• zeroVector: makes a zero vector of a given size

Help is available in the included help file.

## Project details

This version 1.4.1 1.3.0 1.2.2 1.2.1 1.2.0 1.1.0 1.0.1 1.0.0