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cachematrix.R
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## Matrix inversion is usually a costly computation and there may be some benefit to caching the inverse of a matrix rather than computing it repeatedly.
## Here is a pair of functions that cache the inverse of a matrix:
## 1. makeCacheMatrix: This function creates a special "matrix" object that can cache its inverse.
## 2. cacheSolve: This function computes the inverse of the special "matrix" returned by makeCacheMatrix function.
## If the inverse has already been calculated (and the matrix has not changed), then cacheSolve should retrieve the inverse from the cache.
## This function creates a special "matriz", which is really a list containing a function to
## 1 .set the value of the matrix
## 2. get the value of the matix
## 3. set the value of the inverse matrix
## 4. get the value of the inverse matrix
makeCacheMatrix <- function(x = matrix()) {
inverseMatrix <- NULL
setMatrix <- function(pMatrix) {
x <<- pMatrix
inverseMatrix <- NULL
}
getMatrix <- function() {
x
}
setInverseMatrix <- function(pInverseMatrix) {
inverseMatrix <<- pInverseMatrix
}
getInverseMatrix <- function() {
inverseMatrix
}
list(setMatrix=setMatrix, getMatrix=getMatrix, setInverseMatrix=setInverseMatrix, getInverseMatrix=getInverseMatrix)
}
##
## The following function computes the inverse of the special "matrix" created with the cacheMatrix function.
## However, it first checks to see if the inverse matrix has already been calculated (and the matrix has not changed).
## If so, it gets the inverse matrix from the cache and skips the computation.
## Otherwise, it calculates the inverse matrix of the data and sets the value of the inverse matrix in the cache via the setinverse function.
##
cacheSolve <- function(x, ...) {
inverse <- x$getInverseMatrix()
if (!is.null(inverse)) {
message("get inverse matrix from cache data")
return (inverse)
}
matrix <- x$getMatrix()
inverse <- solve(matrix)
x$setInverseMatrix(inverse)
## Return a matrix that is the inverse of 'x'
inverse
}