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CountPrimes.cpp
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CountPrimes.cpp
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// Source : https://leetcode.com/problems/count-primes/
// Author : Hao Chen
// Date : 2015-06-09
/**********************************************************************************
*
* Description:
* Count the number of prime numbers less than a non-negative number, n.
*
* Credits:Special thanks to @mithmatt for adding this problem and creating all test cases.
*
* Let's start with a isPrime function. To determine if a number is prime, we need to check if
* it is not divisible by any number less than n. The runtime complexity of isPrime function
* would be O(n) and hence counting the total prime numbers up to n would be O(n2). Could we do better?
*
* As we know the number must not be divisible by any number > n / 2, we can immediately cut the total
* iterations half by dividing only up to n / 2. Could we still do better?
*
* Let's write down all of 12's factors:
*
* 2 × 6 = 12
* 3 × 4 = 12
* 4 × 3 = 12
* 6 × 2 = 12
*
* As you can see, calculations of 4 × 3 and 6 × 2 are not necessary. Therefore, we only need to consider
* factors up to √n because, if n is divisible by some number p, then n = p × q and since p ≤ q, we could derive that p ≤ √n.
*
* Our total runtime has now improved to O(n1.5), which is slightly better. Is there a faster approach?
*
* public int countPrimes(int n) {
* int count = 0;
* for (int i = 1; i < n; i++) {
* if (isPrime(i)) count++;
* }
* return count;
* }
*
* private boolean isPrime(int num) {
* if (num <= 1) return false;
* // Loop's ending condition is i * i <= num instead of i <= sqrt(num)
* // to avoid repeatedly calling an expensive function sqrt().
* for (int i = 2; i * i <= num; i++) {
* if (num % i == 0) return false;
* }
* return true;
* }
*
* The Sieve of Eratosthenes is one of the most efficient ways to find all prime numbers up to n.
* But don't let that name scare you, I promise that the concept is surprisingly simple.
*
* [Sieve of Eratosthenes](http://en.wikipedia.org/wiki/Sieve_of_Eratosthenes)
*
* [https://leetcode.com/static/images/solutions/Sieve_of_Eratosthenes_animation.gif]
* [http://commons.wikimedia.org/wiki/File:Sieve_of_Eratosthenes_animation.gif]
*
* Sieve of Eratosthenes: algorithm steps for primes below 121. "Sieve of Eratosthenes Animation"()
* by SKopp is licensed under CC BY 2.0.
*
* * [Skoop](http://de.wikipedia.org/wiki/Benutzer:SKopp)
* * [CC BY 2.0](http://creativecommons.org/licenses/by/2.0/)
*
* We start off with a table of n numbers. Let's look at the first number, 2. We know all multiples of 2
* must not be primes, so we mark them off as non-primes. Then we look at the next number, 3. Similarly,
* all multiples of 3 such as 3 × 2 = 6, 3 × 3 = 9, ... must not be primes, so we mark them off as well.
* Now we look at the next number, 4, which was already marked off. What does this tell you? Should you
* mark off all multiples of 4 as well?
*
* 4 is not a prime because it is divisible by 2, which means all multiples of 4 must also be divisible
* by 2 and were already marked off. So we can skip 4 immediately and go to the next number, 5. Now,
* all multiples of 5 such as 5 × 2 = 10, 5 × 3 = 15, 5 × 4 = 20, 5 × 5 = 25, ... can be marked off.
* There is a slight optimization here, we do not need to start from 5 × 2 = 10. Where should we start marking off?
*
* In fact, we can mark off multiples of 5 starting at 5 × 5 = 25, because 5 × 2 = 10 was already marked off
* by multiple of 2, similarly 5 × 3 = 15 was already marked off by multiple of 3. Therefore, if the current
* number is p, we can always mark off multiples of p starting at p2, then in increments of p: p2 + p, p2 + 2p, ...
* Now what should be the terminating loop condition?
*
* It is easy to say that the terminating loop condition is p n, which is certainly correct but not efficient.
* Do you still remember Hint #3?
*
* Yes, the terminating loop condition can be p n, as all non-primes ≥ √n must have already been marked off.
* When the loop terminates, all the numbers in the table that are non-marked are prime.
*
* The Sieve of Eratosthenes uses an extra O(n) memory and its runtime complexity is O(n log log n).
* For the more mathematically inclined readers, you can read more about its algorithm complexity on
* [Wikipedia](http://en.wikipedia.org/wiki/Sieve_of_Eratosthenes#Algorithm_complexity).
*
* public int countPrimes(int n) {
* boolean[] isPrime = new boolean[n];
* for (int i = 2; i < n; i++) {
* isPrime[i] = true;
* }
* // Loop's ending condition is i * i < n instead of i < sqrt(n)
* // to avoid repeatedly calling an expensive function sqrt().
* for (int i = 2; i * i < n; i++) {
* if (!isPrime[i]) continue;
* for (int j = i * i; j < n; j += i) {
* isPrime[j] = false;
* }
* }
* int count = 0;
* for (int i = 2; i < n; i++) {
* if (isPrime[i]) count++;
* }
* return count;
* }
*
*
**********************************************************************************/
#include <stdlib.h>
#include <iostream>
#include <vector>
using namespace std;
int countPrimes(int n) {
vector<bool> isPrimer(n, true);
for(int i=2; i*i<n; i++){
if (isPrimer[i]){
for(int j=i*i; j<n; j+=i){
isPrimer[j] = false;
}
}
}
int cnt = 0;
for(int i=2; i<n; i++){
if (isPrimer[i]) {
//cout << i << ", ";
cnt++;
}
}
return cnt;
}
int main(int argc, char**argv)
{
int n = 100;
if (argc>1){
n = atoi(argv[1]);
}
cout << endl << n << " : " << countPrimes(n) << endl;
return 0;
}