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cachematrix.R
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43 lines (38 loc) · 1.46 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.
##This two functions are used to cache the inverse of a matrix.
# makeCacheMatrix creates 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 inverse of the matrix
# 4. get the value of inverse of the matrix
makeCacheMatrix <- function(x = matrix()) {
m <- NULL
set <- function(y) {
x <<- y
m <<- NULL
}
get <- function() x
setinvmatrix <- function(solve) m <<- solve
getinvmatrix <- function() m
list(set = set, get = get,
setinvmatrix = setinvmatrix,
getinvmatrix = getinvmatrix)
}
# The following function returns the inverse of the matrix. It first checks if
# the inverse has already been computed. If so, it gets the inverse from the
# cache and skips the computation. Otherwise, it computes the inverse, sets the
# value in the cache via the setinvmatrix function.
# This function assumes that the matrix is always invertible.
cacheSolve <- function(x, ...) {
## Return a matrix that is the inverse of 'x'
m <- x$getinvmatrix()
if(!is.null(m)) {
message("getting cached data")
return(m)
}
data <- x$get()
m <- solve(data, ...)
x$setinvmatrix(m)
m
}