diff --git a/cachematrix.R b/cachematrix.R
index a50be65aa44..2ff50da47ab 100644
--- a/cachematrix.R
+++ b/cachematrix.R
@@ -1,15 +1,50 @@
-## Put comments here that give an overall description of what your
-## functions do
+#  Caching the Inverse of a Matrix
 
-## Write a short comment describing this function
+## 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. Here are a pair of functions that cache
+## the inverse of a matrix.
+
+
+## makeCacheMatrix - create a special "matrix" object that can cache
+## its inverse.
 
 makeCacheMatrix <- function(x = matrix()) {
 
+    matInverse <- NULL
+    set <- function (y) {
+        x <<- y
+        matInverse <<- NULL
+    }
+
+    get <- function() x
+    setinverse <- function (mi) matInverse <<- mi
+    getinverse <- function () matInverse
+
+    list (set = set, get = get,
+          setinverse = setinverse,
+          getinverse = getinverse
+          )
 }
 
 
-## Write a short comment describing this function
+
+## cacheSolve - compute 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.
 
 cacheSolve <- function(x, ...) {
-        ## Return a matrix that is the inverse of 'x'
+    ## Return a matrix that is the inverse of 'x'
+
+    matInverse <- x$getinverse()
+    if (!is.null(matInverse)){
+        message("getting cached data")
+        return(matInverse)
+    }
+
+    data <- x$get()
+    matInverse <- solve(data, ...)
+    x$setinverse(matInverse)
+    matInverse
 }