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cachematrix.R
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52 lines (46 loc) · 1.56 KB
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## This set of functions use the scoping rules in R
## to cache potentialy time consuming computations.
## These functions compute and cache the inverse of an
## invertible matrix. The cached value of inverted matrix
## is re-used if the data has not changed.
## This set of functions is very useful if the matrix
## to be inverted is large and the inverse has to be
## computed repeatedly in a loop.
## The function makeCacheMatrix creates a special "vector",
## which is a list containing a function to:
## 1. set the value of the matrix
## 2. get the value of the matrix
## 3. set the value of the inverse of matrix
## 4. get the value of the inverse of matrix
makeCacheMatrix <- function(x = matrix()) {
m <- NULL
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
setsolve <- function(solve) m <<- solve
getsolve <- function() m
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 yes, 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'
m <- x$getsolve()
if(!is.null(m)) {
message("getting cached data")
return(m)
}
data <- x$get()
m <- solve(data, ...)
x$setsolve(m)
m
}