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46 lines (33 loc) · 1.13 KB
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## Matrix inversion is usually a costly computation.
## These two functions are caching the inverse of a matrix to avoid compute it repeatedly
## The makeCacheMatrix function creates a special "matrix" object that can cache its inverse.
## It is use solve() function to get the inverse of the matrix.
## Assume that the matrix supplied is always invertible.
makeCacheMatrix <- function(x = matrix()) {
m<-NULL
set<-function(y){
x<<-y
m<<-NULL
}
get<-function() x
setinversion<-function(solve) m<<- solve
getinversion<-function() m
list(set=set, get=get,
setinversion=setinversion,
getinversion=getinversion)
}
## This cacheSolve function computes the inverse of the special "matrix" returned by makeCacheMatrix.
## If the inversion has already been calculated(and the matrix has not changed), then the
## cachesolve should retrieve the inversion from the cache.
cacheSolve <- function(x, ...) {
m<-x$getinversion()
if(!is.null(m)){
message("getting cached data")
return(m)
}
## calculate the inversion.
data <-x$get()
m<-solve(data, ...)
x$setinversion(m)
m
}