Matrix inversion is usually a costly computation and there may be some benefit to caching the inverse of a matrix rather than computing it repeatedly.

I have written the following functions:

1. makeCacheMatrix: This function creates a special "matrix" object that can cache its inverse.
2. cacheSolve: This function computes the inverse of the special "matrix" returned by makeCacheMatrix above. If the inverse has already been calculated (and the matrix has not changed), then cacheSolve should retrieve the inverse from the cache.

Computing the inverse of a square matrix can be done with the solve function in R. For example, if X is a square invertible matrix, then solve(X) returns its inverse.

For this assignment, I have assumed the matrix supplied will always be invertible.

In order to complete this assignment, I have done the following:

1. Forked the GitHub repository containing the stub R files at https://github.com/rdpeng/ProgrammingAssignment2 to create a copy under my own account.
2. Cloned my forked GitHub repository to my computer so that I could edit the files locally on my machine.
3. Edited the R file contained in the git repository and placed my solution in that file.
4. Commited my completed R file into my git repository and pushed my git branch to the GitHub repository under my account.
5. Submitted to Coursera the URL to my GitHub repository that contains the completed R code for the assignment.

This assignment will be graded via peer assessment.