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cachematrix.r
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## Caching the Inverse of a Matrix:
## 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.
## Below are a pair of functions that are used to create a special object that
## stores a matrix and caches its inverse.
## This function creates a special "matrix" object that can cache its inverse.
makeCacheMatrix <- function(x = matrix()) {
inv <- NULL
set <- function(y) {
x <<- y
inv <<- NULL
}
get <- function() x
setInverse <- function(inverse) inv <<- inverse
getInverse <- function() inv
list(set = set,
get = get,
setInverse = setInverse,
getInverse = getInverse)
}
## This function computes the inverse of the special "matrix" created by
## makeCacheMatrix above. If the inverse has already been calculated (and the
## matrix has not changed), then it should retrieve the inverse from the cache.
cacheSolve <- function(x, ...) {
## Return a matrix that is the inverse of 'x'
inv <- x$getInverse()
if (!is.null(inv)) {
message("getting cached data")
return(inv)
}
mat <- x$get()
inv <- solve(mat, ...)
x$setInverse(inv)
inv
}
> source("ProgrammingAssignment2/cachematrix.R")
> my_matrix <- makeCacheMatrix(matrix(1:4, 2, 2))
> my_matrix$get()
[,1] [,2]
[1,] 1 3
[2,] 2 4
> my_matrix$getInverse()
NULL
> cacheSolve(my_matrix)
[,1] [,2]
[1,] -2 1.5
[2,] 1 -0.5
> cacheSolve(my_matrix)
getting cached data
[,1] [,2]
[1,] -2 1.5
[2,] 1 -0.5
> my_matrix$getInverse()
[,1] [,2]
[1,] -2 1.5
[2,] 1 -0.5
> my_matrix$set(matrix(c(2, 2, 1, 4), 2, 2))
> my_matrix$get()
[,1] [,2]
[1,] 2 1
[2,] 2 4
> my_matrix$getInverse()
NULL
> cacheSolve(my_matrix)
[,1] [,2]
[1,] 0.6666667 -0.1666667
[2,] -0.3333333 0.3333333
> cacheSolve(my_matrix)
getting cached data
[,1] [,2]
[1,] 0.6666667 -0.1666667
[2,] -0.3333333 0.3333333
> my_matrix$getInverse()
[,1] [,2]
[1,] 0.6666667 -0.1666667
[2,] -0.3333333 0.3333333