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50 lines (43 loc) · 1.62 KB
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## The following functions implement a cached version of the inverse of a matrix
## IMPORTANT: it is supposed that the data provided i.e. the matrix supplied
## is always invertible.
## The makeCacheMatrix function creates a special "matrix",
## which is really a list containing functions to
## - set the value of the matrix
## - get the value of the matrix
## - set the value of the matrix inverse (setsolve)
## - get the value of the matrix inverse (getsolve)
makeCacheMatrix <- function(x = matrix()) {
s <- NULL
set <- function(y) {
x <<- y
s <<- NULL
}
get <- function() x
setsolve <- function(solve) s <<- solve
getsolve <- function() s
list(set = set, get = get,
setsolve = setsolve,
getsolve = getsolve)
}
## The cacheSolve function calculates the inverse of the special "matrix" created with the
## makeCacheMatrix function. However, it first checks to see if the inverse has already been calculated.
## If so, it gets the inverse from the cache and skips the computation.
# Otherwise, it calculates the inverse of the data and sets the value of the inverse in the cache
# via the setsolve function.
cacheSolve <- function(x, ...) {
## Return a matrix that is the inverse of 'x'
s <- x$getsolve()
if(!is.null(s)) {
message("getting cached data")
return(s)
}
data <- x$get()
## Inverse calculation: the solve() function solves the equation a %*% x = b
## we will use it to solve the a %*% x = i equation where i is the identity matrix
## with same dimension as x in order to obtain the inverse
i <- diag(nrow(data))
s <- solve(data, i, ...)
x$setsolve(s)
s
}