Say I have a function, for example the old favourite
def factorial(n:Int) = (BigInt(1) /: (1 to n)) (_*_)
Now I want to find the biggest value
as @ziggystar pointed out, Streams
keeps the list of previously computed values in memory, so using Iterator
is a great improvment.
to further improve the answer, I would argue that "infinite streams", are usually computed (or can be computed) based on pre-computed values. if this is the case (and in your factorial stream it definately is), I would suggest using Iterator.iterate
instead.
would look roughly like this:
scala> val it = Iterator.iterate((1,BigInt(1))){case (i,f) => (i+1,f*(i+1))}
it: Iterator[(Int, scala.math.BigInt)] = non-empty iterator
then, you could do something like:
scala> it.find(_._2 >= Long.MaxValue).map(_._1).get - 1
res0: Int = 22
or use @ziggystar sliding
solution...
another easy example that comes to mind, would be fibonacci numbers:
scala> val it = Iterator.iterate((1,1)){case (a,b) => (b,a+b)}.map(_._1)
it: Iterator[Int] = non-empty iterator
in these cases, your'e not computing your new element from scratch every time, but rather do an O(1) work for every new element, which would improve your running time even more.