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cachematrix.R
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51 lines (35 loc) · 1.11 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.
## I have implemented a pair of functions that cache the inverse of a matrix.
## This function creates a special "matrix" object that can cache its inverse.
makeCacheMatrix <- function(m = matrix()) {
i <- NULL
set <- function(y){
m <<- y
i <<- NULL
}
get <- function(){
return(m)
}
setinverse <- function(inverse){
i <<- inverse
}
getinverse <- function(){
return(i)
}
list(set = set, get = get, setinverse = setinverse, getinverse = getinverse)
}
## 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(m) {
i <- m$getinverse()
if(!is.null(i)){
message("Please wait! Fetching data for you!")
return(i)
}
data <- m$get()
i <- solve(data)
m$setinverse(i)
return(i)
}