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47 lines (41 loc) · 1.25 KB
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## Matrix inversion is usually a costly computation and their may
## be some benefit to caching the inverse of a matrix rather than compute it repeatedly.
## This is a pair of functions that cache the inverse of a matrix.
##Example:
# x=matrix(runif(9,1,10),3,3)
# a<-makeCacheMatrix(x)
# returning the matrix
# a$get()
# solve the matrix, cache the inverse, return the inverse
# cacheSolve(a)
# get the cached inverse (returns NULL if not cached yet)
# a$getsolve()
## makeCacheMatrix: creates a special "matrix" object that can cache its inverse
## defines public functions a$get(), a$getsolve()
makeCacheMatrix <- function(x = matrix()) {
xs <- NULL
set <- function(y) {
x <<- y
xs <<- NULL
}
get <- function() x
setsolve <- function(solve) xs <<- solve
getsolve <- function() xs
list(set = set, get = get,
setsolve = setsolve,
getsolve = getsolve)
}
## cacheSolve: computes the inverse of the special "matrix" returned by
## makeCacheMatrix above, if the inverse has already been calculated, then it
## retrieves the inverse from the cache
cacheSolve <- function(x, ...) {
xs <- x$getsolve()
if(!is.null(xs)) {
message("getting cached data")
return(xs)
}
data <- x$get()
xs <- solve(data, ...)
x$setsolve(xs)
xs
}