forked from rdpeng/ProgrammingAssignment2
-
Notifications
You must be signed in to change notification settings - Fork 0
/
cachematrix.R
48 lines (42 loc) · 1.67 KB
/
cachematrix.R
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
## 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.
## Use makeCacheMatrix to create an object that
## can "wrap" a matrix cache the calculation of its inverse.
## Use cacheSolve to compute the inverse of the special "matrix" object
## if necessary, or retrieve the inverse if it is available.
## Aside: this programmer would prefer an implementation that would
## replace what is currently getInverse with cacheSolve functionality
## inside the makeCacheMatrix function and eliminate setInverse
## and the separate cacheSolve function.
## makeCacheMatrix: This function creates a special "matrix" object
## that can cache its inverse.
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)
}
## 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
## cacheSolve should retrieve the inverse from the cache.
cacheSolve <- function(x, ...) {
## Return a matrix that is the inverse of 'x'
i <- x$getInverse()
if(!is.null(i)) {
message("getting cached data")
return(i)
}
data <- x$get()
i <- solve(data, ...)
x$setInverse(i)
i
}