This documentation is automatically generated by online-judge-tools/verification-helper
View the Project on GitHub hitonanode/cplib-cpp
#include "number/count_primes.hpp"
自然数 $N$ の入力に対し,$O(N^{2/3})$ で素数計数関数 $\pi(x)$ の値を $x = N / 1, N / 2, \dots, N / N$ (除算は切り捨て)に関して計算.
#pragma once #include <algorithm> #include <cmath> #include <vector> // CUT begin struct CountPrimes { // Count Primes less than or equal to x (\pi(x)) for each x = N / i (i = 1, ..., N) in O(N^(2/3)) time // Learned this algorihtm from https://old.yosupo.jp/submission/14650 // Reference: https://min-25.hatenablog.com/entry/2018/11/11/172216 using Int = long long; Int n, n2, n3, n6; std::vector<int> is_prime; // [0, 0, 1, 1, 0, 1, 0, 1, ...] std::vector<Int> primes; // primes up to O(N^(1/2)), [2, 3, 5, 7, ...] int s; // size of vs std::vector<Int> vs; // [N, ..., n2, n2 - 1, n2 - 2, ..., 3, 2, 1] std::vector<Int> pi; // pi[i] = (# of primes s.t. <= vs[i]) is finally obtained std::vector<int> _fenwick; int getidx(Int a) const { return a <= n2 ? s - a : n / a - 1; } // vs[i] >= a を満たす最大の i を返す void _fenwick_rec_update( int i, Int cur, bool first) { // pi[n3:] に対して cur * (primes[i] 以上の素因数) の数の寄与を減じる if (!first) { for (int x = getidx(cur) - n3; x >= 0; x -= (x + 1) & (-x - 1)) _fenwick[x]--; } for (int j = i; cur * primes[j] <= vs[n3]; j++) _fenwick_rec_update(j, cur * primes[j], false); } CountPrimes(Int n_) : n(n_), n2((Int)sqrtl(n)), n3((Int)cbrtl(n)), n6((Int)sqrtl(n3)) { is_prime.assign(n2 + 300, 1), is_prime[0] = is_prime[1] = 0; // `+ 300`: https://en.wikipedia.org/wiki/Prime_gap for (size_t p = 2; p < is_prime.size(); p++) { if (is_prime[p]) { primes.push_back(p); for (size_t j = p * 2; j < is_prime.size(); j += p) is_prime[j] = 0; } } for (Int now = n; now; now = n / (n / now + 1)) vs.push_back( now); // [N, N / 2, ..., 1], Relevant integers (decreasing) length ~= 2sqrt(N) s = vs.size(); // pi[i] = (# of integers x s.t. x <= vs[i], (x is prime or all factors of x >= p)) // pre = (# of primes less than p) // 最小の素因数 p = 2, ..., について篩っていく pi.resize(s); for (int i = 0; i < s; i++) pi[i] = vs[i] - 1; int pre = 0; auto trans = [&](int i, Int p) { pi[i] -= pi[getidx(vs[i] / p)] - pre; }; size_t ip = 0; // [Sieve Part 1] For each prime p satisfying p <= N^(1/6) (Only O(N^(1/6) / log N) such primes exist), // O(sqrt(N)) simple operation is conducted. // - Complexity of this part: O(N^(2/3) / logN) for (; primes[ip] <= n6; ip++, pre++) { const auto &p = primes[ip]; for (int i = 0; p * p <= vs[i]; i++) trans(i, p); } // [Sieve Part 2] For each prime p satisfying N^(1/6) < p <= N^(1/3), // point-wise & Fenwick tree-based hybrid update is used // - first N^(1/3) elements are simply updated by quadratic algorithm. // - Updates of latter segments are managed by Fenwick tree. // - Complexity of this part: O(N^(2/3)) (O(N^(2/3)/log N) operations for Fenwick tree (O(logN) per query)) _fenwick.assign(s - n3, 0); // Fenwick tree, inversed order (summation for upper region) auto trans2 = [&](int i, Int p) { int j = getidx(vs[i] / p); auto z = pi[j]; if (j >= n3) { for (j -= n3; j < int(_fenwick.size()); j += (j + 1) & (-j - 1)) z += _fenwick[j]; } pi[i] -= z - pre; }; for (; primes[ip] <= n3; ip++, pre++) { const auto &p = primes[ip]; for (int i = 0; i < n3 and p * p <= vs[i]; i++) trans2(i, p); // upto n3, total trans2 times: O(N^(2/3) / logN) _fenwick_rec_update(ip, primes[ip], true); // total update times: O(N^(2/3) / logN) } for (int i = s - n3 - 1; i >= 0; i--) { int j = i + ((i + 1) & (-i - 1)); if (j < s - n3) _fenwick[i] += _fenwick[j]; } for (int i = 0; i < s - n3; i++) pi[i + n3] += _fenwick[i]; // [Sieve Part 3] For each prime p satisfying N^(1/3) < p <= N^(1/2), use only simple updates. // - Complexity of this part: O(N^(2/3) / logN) // \sum_i (# of factors of vs[i] of the form p^2, p >= N^(1/3)) = \sum_{i=1}^{N^(1/3)} \pi(\sqrt(vs[i]))) // = sqrt(N) \sum_i^{N^(1/3)} // i^{-1/2} / logN = O(N^(2/3) / logN) // (Note: \sum_{i=1}^{N} i^{-1/2} = O(sqrt N) // https://math.stackexchange.com/questions/2600796/finding-summation-of-inverse-of-square-roots ) for (; primes[ip] <= n2; ip++, pre++) { const auto &p = primes[ip]; for (int i = 0; p * p <= vs[i]; i++) trans(i, p); } } };
#line 2 "number/count_primes.hpp" #include <algorithm> #include <cmath> #include <vector> // CUT begin struct CountPrimes { // Count Primes less than or equal to x (\pi(x)) for each x = N / i (i = 1, ..., N) in O(N^(2/3)) time // Learned this algorihtm from https://old.yosupo.jp/submission/14650 // Reference: https://min-25.hatenablog.com/entry/2018/11/11/172216 using Int = long long; Int n, n2, n3, n6; std::vector<int> is_prime; // [0, 0, 1, 1, 0, 1, 0, 1, ...] std::vector<Int> primes; // primes up to O(N^(1/2)), [2, 3, 5, 7, ...] int s; // size of vs std::vector<Int> vs; // [N, ..., n2, n2 - 1, n2 - 2, ..., 3, 2, 1] std::vector<Int> pi; // pi[i] = (# of primes s.t. <= vs[i]) is finally obtained std::vector<int> _fenwick; int getidx(Int a) const { return a <= n2 ? s - a : n / a - 1; } // vs[i] >= a を満たす最大の i を返す void _fenwick_rec_update( int i, Int cur, bool first) { // pi[n3:] に対して cur * (primes[i] 以上の素因数) の数の寄与を減じる if (!first) { for (int x = getidx(cur) - n3; x >= 0; x -= (x + 1) & (-x - 1)) _fenwick[x]--; } for (int j = i; cur * primes[j] <= vs[n3]; j++) _fenwick_rec_update(j, cur * primes[j], false); } CountPrimes(Int n_) : n(n_), n2((Int)sqrtl(n)), n3((Int)cbrtl(n)), n6((Int)sqrtl(n3)) { is_prime.assign(n2 + 300, 1), is_prime[0] = is_prime[1] = 0; // `+ 300`: https://en.wikipedia.org/wiki/Prime_gap for (size_t p = 2; p < is_prime.size(); p++) { if (is_prime[p]) { primes.push_back(p); for (size_t j = p * 2; j < is_prime.size(); j += p) is_prime[j] = 0; } } for (Int now = n; now; now = n / (n / now + 1)) vs.push_back( now); // [N, N / 2, ..., 1], Relevant integers (decreasing) length ~= 2sqrt(N) s = vs.size(); // pi[i] = (# of integers x s.t. x <= vs[i], (x is prime or all factors of x >= p)) // pre = (# of primes less than p) // 最小の素因数 p = 2, ..., について篩っていく pi.resize(s); for (int i = 0; i < s; i++) pi[i] = vs[i] - 1; int pre = 0; auto trans = [&](int i, Int p) { pi[i] -= pi[getidx(vs[i] / p)] - pre; }; size_t ip = 0; // [Sieve Part 1] For each prime p satisfying p <= N^(1/6) (Only O(N^(1/6) / log N) such primes exist), // O(sqrt(N)) simple operation is conducted. // - Complexity of this part: O(N^(2/3) / logN) for (; primes[ip] <= n6; ip++, pre++) { const auto &p = primes[ip]; for (int i = 0; p * p <= vs[i]; i++) trans(i, p); } // [Sieve Part 2] For each prime p satisfying N^(1/6) < p <= N^(1/3), // point-wise & Fenwick tree-based hybrid update is used // - first N^(1/3) elements are simply updated by quadratic algorithm. // - Updates of latter segments are managed by Fenwick tree. // - Complexity of this part: O(N^(2/3)) (O(N^(2/3)/log N) operations for Fenwick tree (O(logN) per query)) _fenwick.assign(s - n3, 0); // Fenwick tree, inversed order (summation for upper region) auto trans2 = [&](int i, Int p) { int j = getidx(vs[i] / p); auto z = pi[j]; if (j >= n3) { for (j -= n3; j < int(_fenwick.size()); j += (j + 1) & (-j - 1)) z += _fenwick[j]; } pi[i] -= z - pre; }; for (; primes[ip] <= n3; ip++, pre++) { const auto &p = primes[ip]; for (int i = 0; i < n3 and p * p <= vs[i]; i++) trans2(i, p); // upto n3, total trans2 times: O(N^(2/3) / logN) _fenwick_rec_update(ip, primes[ip], true); // total update times: O(N^(2/3) / logN) } for (int i = s - n3 - 1; i >= 0; i--) { int j = i + ((i + 1) & (-i - 1)); if (j < s - n3) _fenwick[i] += _fenwick[j]; } for (int i = 0; i < s - n3; i++) pi[i + n3] += _fenwick[i]; // [Sieve Part 3] For each prime p satisfying N^(1/3) < p <= N^(1/2), use only simple updates. // - Complexity of this part: O(N^(2/3) / logN) // \sum_i (# of factors of vs[i] of the form p^2, p >= N^(1/3)) = \sum_{i=1}^{N^(1/3)} \pi(\sqrt(vs[i]))) // = sqrt(N) \sum_i^{N^(1/3)} // i^{-1/2} / logN = O(N^(2/3) / logN) // (Note: \sum_{i=1}^{N} i^{-1/2} = O(sqrt N) // https://math.stackexchange.com/questions/2600796/finding-summation-of-inverse-of-square-roots ) for (; primes[ip] <= n2; ip++, pre++) { const auto &p = primes[ip]; for (int i = 0; p * p <= vs[i]; i++) trans(i, p); } } };