diff --git a/cachematrix.R b/cachematrix.R
index a50be65aa44..6e6392aa14e 100644
--- a/cachematrix.R
+++ b/cachematrix.R
@@ -1,15 +1,52 @@
-## Put comments here that give an overall description of what your
-## functions do
+## The following two functions uses R scoping rules to cache inverse of a matrix so if the content does
+## not change then the result of inverse matrix is retured from cache rather than computing the value again
+## in time consumping computations. <<- operator in R is used to assign a value to an object 
+## in an environment that is different from the current environment.
 
-## Write a short comment describing this function
+
+## This fucntion creates a list containing functions to
+##      set the value of the matrix
+##      Get the value of the matrix
+##      set the value of the inverse of the matrix
+##      get the value of the inverse of the matrix
 
 makeCacheMatrix <- function(x = matrix()) {
+        m <- NULL
+        ## setter funtion
+        set <- function(y) {
+                x <<- y
+                m <<- NULL
+        }
+        ## get function to return the matrix
+        get <- function() x
+        ## set the inverse to varialbe m
+        setinverse <- function(inv) m <<- inv
+        ## ger the inverse from varialbe m
+        getinverse <- function() m
+        
+        list(set = set, get = get,
+             setinverse = setinverse,
+             getinverse = getinverse)
 
 }
 
 
-## Write a short comment describing this function
+## Return a matrix that is the inverse of 'x' either from already computed value from Cache or
+## Calculates the inverse and return the result.
 
 cacheSolve <- function(x, ...) {
-        ## Return a matrix that is the inverse of 'x'
+        
+        
+        m <- x$getinverse()
+        if(!is.null(m)) {
+                message("getting cached data")
+                return(m)
+        }
+        
+        data <- x$get()
+        ##calucutes the inverse of the matrix by using R built in Funtion Solve if result is not in Cache
+        m <- solve(data)
+        x$setinverse(m)
+        return(m)
 }
+