calculation of cached matrix

amunda · amunda · commit 9d79b05d1c51 · 2014-10-26T09:13:59.000-04:00
diff --git a/cachematrix.R b/cachematrix.R
@@ -1,15 +1,36 @@
-## Put comments here that give an overall description of what your
-## functions do
+## These functions will allow you to cache expensive operation of
+## calculating matrix inverse. These calculations can be really expensive when the vector size is huge
+## We use lexical scoping of R to implement caching.
 
-## Write a short comment describing this function
+## This is a special matrix object which can be cacheable. It stores both the original and cached version of matrix
 
 makeCacheMatrix <- function(x = matrix()) {
-
+  inverseMatrix <- NULL
+  set <- function(y){
+    x <<- y
+    inverseMatrix <<- NULL
+  }
+  get <- function() x
+  setInverse <- function(inverse) inverseMatrix <<- inverse
+  getInverse <- function() inverseMatrix
+  list(set = set, get = get, setInverse = setInverse, getInverse = getInverse)
 }
 
 
-## Write a short comment describing this function
+## This method first checks if inversed matrix is preesent in cache or not. 
+## if it isn't present in cache then it performs the inversion of matrix and then returns the value
 
 cacheSolve <- function(x, ...) {
-        ## Return a matrix that is the inverse of 'x'
+  ## Return a matrix that is the inverse of 'x'
+  
+  inverseMatrix <- x$getInverse()
+  if(!is.null(inverseMatrix)){
+    message("Using cached version of inverse matrix")
+    return(inverseMatrix)
+  }
+  
+  matrix <- x$get()
+  inverseMatrix <- solve(matrix,...)
+  x$setInverse(inverseMatrix)
+  inverseMatrix
 }
