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204_Count_Primes cpp solution (qiyuangong#5)
204_Count_Primes cpp solution contributed by @yogesh-mca17du
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CountingPrimes.cpp

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

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