Part 1,2

Project Euler problem 1 wants a person to find the sum of all numbers less than 1000 that are divisible by 3 and 5. I was able solve this problem pretty easily in Scala. My solution is very similar to how I would solve the problem in Java. Quickly glancing at the code, you can see there is less of it. Keywords in Java like **Public** and **static **aren’t in here. It may not see like much, but it adds up.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | object Euler001 { def main(args: Array[String]) { var a = 0 var sum = 0 while(a < 1000) { if(a%3 == 0 || a%5 == 0) sum = sum + a a = a + 1 } println(sum) } } |

Using a while loop solved the problem. I have more variations of the solution I will post later. If you are trying to learn a new programming language, projects like Euler is a great way to do this. For now just trust me, I will write a follow up article on why.

Pfft, that’s far too readable.

def reduce(i: Int) = if(i % 3 == 0 || i % 5 == 0) i else 0

(0 /: (0 until 1000)) { _ + reduce(_) }

Much better! 😉

Pfff, that’s far too brutal:

3 * 333 * 334 / 2 + 5 * 199 * 200 / 2 – 15 * 66 * 67 / 2 is much better! =)

I never thought about it that way. How did you come up with that approach?

Well, you don’t need Scala or any other programming language, good old math can do it for you

solution

= sum of multiples of 3 < 1000

+ sum of multiples of 5 < 1000

– sum of multiples of 15 < 1000 (because multiples of 15 are added twice)

sum of n first numbers = n*(n+1)/2

sum of n first multiples of x = x*n*(n+1)/2

there are 333 multiples of 3 < 1000 (last one is 333 * 3 = 999)

there are 199 multiples of 5 < 1000 (last one is 199 * 5 = 995)

there are 66 multiples of 15 < 1000 (last one is 66 * 15 = 990)

I know that many people with coding skills will try to brute-force every project-euler problems… but some of those problems actually don't need to be brute-forced.

Very good point brute force is not needed for this one. Thanks for the explanation.

ok for good old math but where your magical numbers 333, 199, 66 are coming from. is there a mathematical formula to calculate how many multiples of x there are between a and b ??

To explain my solution, I recast your imperative solution in a functional form. The two mutable variables you used — sum and a — were replaced with a foldLeft and a sequence.

What was a comes from (0 until 1000) — a Seq[Int] that includes the numbers 0 <= i accumulator + reduce(current) }

Which says: Initialize accumulator to 0. Iterate over the numbers for 0 until 1000, updating accumulator as needed.

You can then use Scala’s magic _ syntax sugar to make it more concise. Whenever you’re defining a function whose parameters are known (in this case, the accumulator = accumulator + reduce(current) is actually a function whose type is defined by the foldLeft function), if you use each parameter exactly once, each subsequent use of _ refers to the next parameter.

So, you could rewrite as:

(0 until 1000).foldLeft(0) { _ + reduce(_) }

noobs…;)

1 to 1000 filter { x => x % 3 == 0 || x % 5 == 0 } sum

Please take some time to learn the language before posting these kinds of “solutions”. What you’ve done was just translate a Java solution and say it’s Scala, very very bad coding style. Kim’s solution is how you should be thinking about this in Scala.

To elaborate on what is condireded “bad style” in your code:

mutable variables: Scala promotes functional style coding, where everything is immutable

loop over a range/collection: again functional style transformations are preferred, look at reduce, fold, map, filter, sum, etc.

(and lose those semicolons, they’re evil

I removed the semi-colons. Thank you for your insight. I appreciate your opinion. I feel that posting Java-Scala hybrid solutions help people understand the new concepts in Scala. I never stated use this code in production, or this is “good style.” I stated this is a solution I came up with.

println((1 until x).filter(a => a % 3 == 0 || a % 5 == 0).foldLeft(0)(_+_))