Reputation: 106351
I need to work out a very large power modulo (2^32), i.e. I want the result of:
y = (p^n) mod (2^32)
p is a prime number
n is a large integer
Is there a trick to doing this efficiently in Java?
Or am I stuck with doing it in a loop with n iterations?
Upvotes: 2
Views: 6425
Reputation: 41967
In addition to the other answers you can use some elementary number theory to reduce the time needed to compute an mod 232 for a
an odd integer to O(1). The Euler Phi function together with Euler's Theorem allows you to discard all but the low-order 31 bits of n.
φ(232) = 231, and aφ(232) = 1 mod 232.
Thus if n = q*(231) + r, 0 <= r < 231, then an mod 232 = ar mod 232
r is simply the low-order 31 bits of n, i.e. n & 0x7fffffff
. In fact, by Carmichael's Theorem you can do a bit better (literally), and you only need to consider the low-order 30 bits of n, i.e. n & 0x3fffffff
. You can precompute these once and store them in a table of size 4GB for a given base a
. Here is some java code as an example.
import java.math.BigInteger;
public class PowMod2_32 {
private static final long MASK32 = 0xffffffffL;
public static long pow32(final int a, final int exponent)
{
int prod = 1;
for (int i = 29; i>=0; i--) {
prod *= prod; // square
if (((exponent >> i) & 1) == 1) {
prod *= a; // multiply
}
}
return prod & MASK32;
}
public static long pow32(BigInteger a, BigInteger exponent) {
return pow32(a.intValue(), exponent.intValue());
}
}
Upvotes: 3
Reputation: 533530
The simple way to mod 2^32 is to use & 0xFFFFFFFFL
. Also, there happens to be a type which naturally keeps the lowest 32-bit called int
;) If you use that you don't even need to perform the &
until you have the result (so the answer is unsigned) For this reason you only need to keep the last 32 bit of the answer. To speed up the ^n
you can calculate the square, it's square and it's square etc, e.g if n is 0b11111 then you need to multiply p^16 * p^8 * p^4 * p^2 * p.
In short, you can use plain int
as you only need 32-bit of accuracy and values with a cost of O(ln n) where n
is the power.
int prime = 2106945901;
for (int i = 0; i < 10; i++) {
long start = System.nanoTime();
long answer1 = BigInteger.valueOf(prime)
.modPow(
BigInteger.valueOf(prime),
BigInteger.valueOf(2).pow(32)).longValue();
long mid = System.nanoTime();
int answer2 = 1;
int p = prime;
for (int n = prime; n > 0; n >>>= 1) {
if ((n & 1) != 0)
answer2 *= p;
p *= p;
}
long end = System.nanoTime();
System.out.printf("True answer %,d took %.3f ms, quick answer %,d took %.3f ms%n",
answer1, (mid - start) / 1e6, answer2 & 0xFFFFFFFFL, (end - mid) / 1e6);
}
prints finally
True answer 4,169,684,317 took 0.233 ms, quick answer 4,169,684,317 took 0.002 ms
Upvotes: 4
Reputation: 26040
You can utilize exponentiation by squaring. Firstly, break it down into powers of two for your given n
. Since p^n (mod x) == p^(k1) (mod x) . p^(k2) (mod x) . ... p^(kn) (mod x)
where sum k_i = n
, you can utilize this and successive powers of two to calculate this in O(log n)
steps.
Upvotes: 4
Reputation: 7347
Use the Class Bigintiger. here´s an example how to work / pow with it
public String higherPow() {
BigIntiger i = new Bigintger("2");
// doing a power(2^32)
i = i.pow(32);
// after 2^32 was made, do mod 100
i = i.mod(new Bigintiger("100"));
return i.toString();
}
Upvotes: -2