ProgrammingAssignment2

Data Science Class

makeCacheMatrix()

cacheSolve()

Usage of the canned version:

first create a matrix, like z <- matrix(c(1,3,3,1),2,2)

then call a <- makeCacheMatrix(z), this will create the functions get, set, getsolve, and setsolve

which will be accessible through the variable a

you can now solve (invert) the matrix by calling b <- cacheSolve(a)

you can store the result into the cache by calling a$set(b)

and you can verify that the results are in cache by calling m <- a$get()

or just type a$get() to see the output in your console

however these canned functions don't work "exactly" like the instructions suggest they should

to augment these functions, I've written a version that is more intuitive. The routines are

called BrianCacheMatrix() and BrianCacheSolve()

to use this augmented version, it is only necessary to call the

u <- BrianCacheSolve(x) routine with your matrix x

then simply call u$get() to see the matrix, and u$getinv() to see its inverse,

both of these will come from the cache

the call to BrianCacheSolve() will print your matrix and its inverse, and store

both in a cache that is returned to you (in this case the cache is called "u")

the usage of the underlying routine BrianCacheMatrix can be made visible like this:

first create your matrix, h <- matrix(c(1,3,3,1),2,2)

now call k <- BrianCacheMatrix(h)

now call k$set(h), this will set the matrix h into cache

now call k$get() to verify that the matrix is in the cache

finally call k$getinv() to verify that the matrix inverse is also in the cache