제출 #1282561

#제출 시각아이디문제언어결과실행 시간메모리
1282561poltomoJobs (BOI24_jobs)C++20
100 / 100
226 ms8592 KiB
#include<iostream> #include<vector> #include<queue> using namespace std; // find int find(vector<int>& U, int a) { while (a != U[a]) a = U[a]; return a; } // find + two pass path compression int find2(vector<int>& U, int a) { int root = a; while (root != U[root]) root = U[root]; int next = U[a]; while (next != root) { U[a] = root; a = next; next = U[a]; } return root; } // union void merge(vector<int>& U, int a, int b) { U[find(U,b)] = find(U, a); } int main() { int N; long long s; cin >> N >> s; vector<long long> x(N + 1); vector<int> p(N + 1); vector<long long> cost_to_take(N + 1); vector<int> U(N + 1); for (int i = 0;i < N + 1;++i) { U[i] = i; } auto cmp = [&](int a, int b) {return cost_to_take[a] > cost_to_take[b];}; // comparator for "least expensive jobs first" behavior by priority queue priority_queue<int, std::vector<int>, decltype(cmp)> pq(cmp); x[0] = s; p[0] = 0; for (int i = 1;i < N + 1; ++i) { cin >> x[i] >> p[i]; if (x[i] > 0) { pq.push(i); // only jobs with positive profit are worth merging up } else { cost_to_take[i] = -x[i]; // -x(i) is the cost to take a job with non-positive profit, i.e. x(i) <= 0 } } while (!pq.empty()) { int least_expensive_job = pq.top(); // least expensive job; this job's profit is always positive because only positive profit jobs are pushed onto the priority queue pq.pop(); int least_expensive_job_parent = find2(U, p[least_expensive_job]); // least expensive job's parent job if (cost_to_take[least_expensive_job_parent] + x[least_expensive_job_parent] >= cost_to_take[least_expensive_job]) { // Case 1: if this job's parent were to be taken, there would at the very least be cost_to_take[job's parent] + x[job's parent] euros to take children jobs after. // So, if this job costs less than, then it should be taken/merged. Remember, it's profit is positive. // Note, that the very first jobs ever pushed onto the priority queue will cost 0 to take, so they'll all get merged. merge(U, least_expensive_job_parent, least_expensive_job); // merge jobs x[least_expensive_job_parent] += x[least_expensive_job]; // add profits x[least_expensive_job] = 0; } else { // Case 2: What does it mean if all case 1 job merges are exhausted? It means that cost_to_take[job's parent] + x[job's parent] < cost_to_take[job] is true for all jobs now. // That means that the next merge will certainly increase the parent job's cost to take. Greedily picking the least expensive positive profit job (case 1 before case 2) brings about the smallest increase in the next merged job's cost to take. // However, tt turns out that greedily always picking the least expensive positive profit job to take is enough, even though it may not fully exhaust the case 1 jobs, in which ... >= cost_to_take[job]). // But it does not matter because there is never a case where taking the least costly to take positive profit job unduly prempts the taking of another or raises its parents cost to take more than it should. if (least_expensive_job_parent != 0) { cost_to_take[least_expensive_job_parent] = cost_to_take[least_expensive_job] - x[least_expensive_job_parent]; merge(U, least_expensive_job_parent, least_expensive_job); // merge jobs x[least_expensive_job_parent] += x[least_expensive_job]; // add profits x[least_expensive_job] = 0; } } if (least_expensive_job_parent != 0 && x[least_expensive_job_parent] > 0) { // the root job has no parent job to merge with and only positive jobs are worth merging pq.push(least_expensive_job_parent); } } cout << x[0] - s << endl; }
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