So the other night I was a bit bored and decided to do something to pass the time. I first came across Project Euler a while ago, but had never gone further than problem #1. Boredom is a great motivator and I went through problems #2 thru #9 last night and I decided to post my solutions in search of better ones. Feel free to comment with your suggestions.
Project Euler’s Problem #9 statement is —
A Pythagorean triplet is a set of three natural numbers, $latex a < b < c$, for which,
[latex]a2 + b2 = c2[/latex]
For example, $latex 32 + 42 = 9 + 16 = 25 = 52$.
There exists exactly one Pythagorean triplet for which [pmath]a + b + c = 1000[/pmath].
Find the product [pmath]abc[/pmath].
Butt ugly, super slow, brute-force solution:
from sys import exit def is_triplet(a, b, c): if a < b and b < c: return a ** 2 + b ** 2 == c ** 2 for a in range(0, 1000): for b in range(a + 1, 1000): for c in range(b + 1, 1000): if a + b + c == 1000 and is_triplet(a, b, c): print a * b * c exit(0)
I’ll have to rethink this, as it’s really inefficient. As it is, it runs in 18.034s!
Updated: take a look at another take at this problem and algorithm.
Updated 2010/08/04: Gustavo Niemeyer pointed an obvious optimization to the algorithm above (written in C)—the innermost loop is unnecessary. I rewrote it in Python to see the difference:
from sys import exit def is_triplet(a, b, c): return (a ** 2 + b ** 2 == c ** 2) for a in range(1, 1000): for b in range(a + 1, (1000 - a) / 2): c = 1000 - a - b if is_triplet(a, b, c): print "%d * %d * %d = %d" % (a, b, c, a * b * c)
From 18s to 0.076s. As well, following Eduardo Habkost’s suggestion, I used psyco and execution time went down to 0.023s.