If I run the following code:
public static void main(String[] argsv) {
long whichFib = 45;
long st;
st = System.currentTimeMillis();
System.out.println(recursiveFib(whichFib));
System.out.println("Recursive version took " + (System.currentTimeMillis() - st) + " milliseconds.");
st = System.currentTimeMillis();
System.out.println(iterativeFib(whichFib));
System.out.println("Iterative version took " + (System.currentTimeMillis() - st) + " milliseconds.");
}
public static long recursiveFib(long n) {
if (n == 0)
return 0;
if (n == 1 || n == 2)
return 1;
return recFib(n - 1) + recFib(n - 2);
}
public static long iterativeFib(long n) {
if (n == 0)
return 0;
else if (n == 1 || n == 2)
return 1;
long sum = 1;
long p = 1;
long u = 1;
for (int i = 2; i < n; i++) {
sum = p + u;
p = u;
u = sum;
}
return sum;
}
I get the following output:
1134903170
Recursive version took 5803 milliseconds.
1134903170
Iterative version took 0 milliseconds.
I feel like I have done something incorrect here. I thought that the tail call (the final line in the recursive fibonacci method) would be optimised by the compiler, bringing it closer in speed to the iterative version. Does anyone have any ideas why this is running so slowly? Is it just a poorly written function?
N.B. I am using Oracle JDK 1.7
As other answers noted, your function is not tail recursive, here is a tail recursive version of fibonacci:
Also, the JVM does not do tail-call optimization so a stack frame will be allocated for every recursive call, making this quite an expensive operation. However it is important to note this is technically implementation dependent, see comments for link to IBM SDK that does TCO, and this SO question for more information.
An optimized version would be to do tail-call optimization manually, converting the above to a while loop with variable reassignment: