Here is an optimal algorithm, assuming that we are allowed to use hashmaps. It runs in O(n) time and space (and not O(maxValue) time, which is too expensive).
It is based on Floyd's random sample algorithm. See my blog post about it for details.
The code is in Java:
private static Random rnd = new Random();
public static Set<Integer> randomSample(int max, int n) {
HashSet<Integer> res = new HashSet<Integer>(n);
int count = max + 1;
for (int i = count - n; i < count; i++) {
Integer item = rnd.nextInt(i + 1);
if (res.contains(item))
res.add(i);
else
res.add(item);
}
return res;
}
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