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cachematrix.R
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45 lines (39 loc) · 1.55 KB
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## 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.
## The following pair of functions is used to cache the inverse of a matrix.
## The first function makeCacheMatrix creates a a special "matrix" object,
## which is really a list containing a function to:
## 1. set the matrix
## 2. get the matrix
## 3. set the inverse of the matrix
## 4. get the inverse of the matrix
makeCacheMatrix <- function(x = matrix()) {
i <- NULL
set <- function(y) {
x <<- y
i <<- NULL
}
get <- function() x
setinverse <- function(inverse) i <<- inverse
getinverse <- function() i
list(set = set, get = get,
setinverse = setinverse,
getinverse = getinverse)
}
## The function cacheSolve 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. Otherwise, it computes the inverse of the matrix
## and sets the inverse of the matrix in the cache via the setinverse function.
## This function assumes that the matrix supplied is always invertible.
cacheSolve <- function(x, ...) {
i <- x$getinverse()
if(!is.null(i)) {
message("getting cached data")
return(i)
}
data <- x$get()
i <- solve(data, ...)
x$setinverse(i)
i
}