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sakibb019 authored Jun 8, 2020
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# See README.md for instructions on running the code and output from it
# The assignment states that running the code is not part of the grading
# but I have the instructions anyway.

# makeCacheMatrix is a function that returns a list of functions
# Its puspose is to store a martix and a cached value of the inverse of the
# matrix. Contains the following functions:
# * setMatrix set the value of a matrix
# * getMatrix get the value of a matrix
# * cacheInverse get the cahced value (inverse of the matrix)
# * getInverse get the cahced value (inverse of the matrix)
#
# Notes:
# not sure how the "x = numeric()" part works in the argument list of the
# function, but it seems to be creating a variable "x" that is not reachable
# from the global environment, but is available in the environment of the
# makeCacheMatrix function
makeCacheMatrix <- function(x = numeric()) {

# holds the cached value or NULL if nothing is cached
# initially nothing is cached so set it to NULL
cache <- NULL

# store a matrix
setMatrix <- function(newValue) {
x <<- newValue
# since the matrix is assigned a new value, flush the cache
cache <<- NULL
}

# returns the stored matrix
getMatrix <- function() {
x
}

# cache the given argument
cacheInverse <- function(solve) {
cache <<- solve
}

# get the cached value
getInverse <- function() {
cache
}

# return a list. Each named element of the list is a function
list(setMatrix = setMatrix, getMatrix = getMatrix, cacheInverse = cacheInverse, getInverse = getInverse)
}


# The following function calculates the inverse of a "special" matrix created with
# makeCacheMatrix
cacheSolve <- function(y, ...) {
# get the cached value
inverse <- y$getInverse()
# if a cached value exists return it
if(!is.null(inverse)) {
message("getting cached data")
return(inverse)
}
# otherwise get the matrix, caclulate the inverse and store it in
# the cache
data <- y$getMatrix()
inverse <- solve(data)
y$cacheInverse(inverse)

# return the inverse
inverse
}

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