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# R Programming - Assignment #2 - Caching the Inverse of a Matrix
#
# Define a special matrix (makeCacheMatrix) object that can cache its inverse
# and a function (cacheSolve) that calculate or retrieve the matrix inverse
# from cache if it exist.
makeCacheMatrix <- function(x = matrix()) {
# This function creates a special "matrix" object that can cache
# its inverse.
#
# Args:
# x: an invertible matrix
#
# Returns:
# a makeCacheMatrix object: a list of functions: set, get, setinverse
# and getinverse
inv <- NULL
set <- function(y) {
x <<- y
inv <<- NULL
}
get <- function() x
setinverse <- function(inverse) inv <<- inverse
getinverse <- function() inv
list(set = set, get = get,
setinverse = setinverse,
getinverse = getinverse)
}
cacheSolve <- function(x, ...) {
#This function computes the inverse of the special "matrix"
#returned by makeCacheMatrix. If the inverse has already
#been calculated (and the matrix has not changed), then the cacheSolve
#retrieve the inverse from the cache.
#
# Args:
# x: a makeCacheMatrix object
#
# Returns:
# inv: the inverse of matrix x
inv <- x$getinverse()
if(!is.null(inv)) {
message("getting cached data")
return(inv)
}
data <- x$get()
inv <- solve(data, ...)
x$setinverse(inv)
inv
}