cachematrix.R

## This functions above create a especial "matrix" that can cache its inverse. Its important
## because the matrix inversion is usually a costly computation and there may be some benefit 
## to caching the inverse of a matrix rather than compute it repeatedly. 


## makeCacheMatrix: This function creates a special "matrix" object that can cache its inverse.

makeCacheMatrix <- function(x = matrix()) {
    m <- NULL
    set <- function(y) {
        x <<- y
        m <<- NULL
    }
    get <- function() x
    setsolve <- function(solve) m <<- mean
    getsolve <- function() m
    list(set = set, get = get,
         setsolve = setsolve,
         getsolve = getsolve)
}

## 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 the cachesolve should retrieve the inverse 
##             from the cache.


cacheSolve <- function(x, ...) {
    ## Return a matrix that is the inverse of 'x'
    m <- x$getsolve()
    if(!is.null(m)) {
        message("getting cached data")
        return(m)
    }
    data <- x$get()
    m <- solve(data, ...)
    x$setsolve(m)
    m
}