From 10d001b383af3ff53ec7c2ee2ef4bb8ce5ae920c Mon Sep 17 00:00:00 2001
From: Mohammad Asadi <89099584+MuhammadAsadi95@users.noreply.github.com>
Date: Tue, 5 Oct 2021 04:14:07 -0700
Subject: [PATCH] Update cachematrix.R

---
 cachematrix.R | 31 +++++++++++++++++++++++++++++++
 1 file changed, 31 insertions(+)

diff --git a/cachematrix.R b/cachematrix.R
index a50be65aa44..a0b716adf3c 100644
--- a/cachematrix.R
+++ b/cachematrix.R
@@ -2,14 +2,45 @@
 ## functions do
 
 ## Write a short comment describing this function
+##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
+##(there are also alternatives to matrix inversion that we will not discuss here).
 
 makeCacheMatrix <- function(x = matrix()) {
+#This function creates a special "matrix" object that can cache its inverse.
 
+
+makeVector <- function(x = matrix()) {
+  m <- NULL
+  set <- function(y) {
+    x <<- y
+    m <<- NULL
+  }
+  get <- function() x
+  setinv <- function(inv) m <<- inv
+  getinv <- function() m
+  list(set = set, get = get,
+       setinv = setinv,
+       getinv = getinv)
 }
 
+#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 the cachesolve should retrieve the inverse from the cache.
 
 ## Write a short comment describing this function
 
 cacheSolve <- function(x, ...) {
         ## Return a matrix that is the inverse of 'x'
 }
+cachemean <- function(x, ...) {
+  m <- x$getinv()
+  if(!is.null(m)) {
+    message("getting cached data")
+    return(m)
+  }
+  data <- x$get()
+  m <- solve(data, ...)
+  x$setinv(m)
+  m
+}