Submission #615860

#TimeUsernameProblemLanguageResultExecution timeMemory
615860jophyyjhJelly Flavours (IOI20_jelly)C++14
100 / 100
256 ms154908 KiB
/** * A really nice dp + greedy problem~ I can recall that this is one the first few IOI * problems I ever saw, and I also heard the solution from tinjyu. * * Anyway, the first few subtasks are pretty easy. In particular, when there's only * one person (e.g. when y=0) we can simply sort all flavours according to price (for * that person) and greedily pick from the small ones. From the constraints, one may * guess that the only way to AC this problem is to do a O(nx) dp (not a O(nxy) one). * Now, let dp[i][t] be the dp state when we only consider the first i flavours and * exactly t dollars are spent on store B. Each dp state already captures the cost in * B, so it may (?!) natural to maximize the num of unique flavours she can buy while * minimizing the amount of money spent on store A. * So, we first SORT the flavours based on their price in store A (from small to * large). We know that if we've selected a subset of jelly in B, she would just * greedily pick the remaining ones in store A (from left to right). Therefore, in * each dp state, we store the max num of flavours we can buy. In addition, among all * choices that can reach the max. num of flavours, we store the max amount of money * that can be left with in store A. It's not difficult to prove that this is indeed * a valid approach using greedy arguments. Nice problem! * * Impl2 is inspired by https://codeforces.com/blog/entry/91804 and * https://codeforces.com/blog/entry/82625. Basically, we split the array into two * sections where the last element in the 1st section is the last item we buy in * store A. We use dp to compute the smallest cost used in the 1st part, and use dp * again to compute the num of flavours in 2nd part. The idea is to split the items * into two parts AND also split our money into two. * * Time Complexity: O(ny) (or equivalently, O(nx)) * Implementation 2 */ #include <bits/stdc++.h> #include "jelly.h" typedef std::vector<int> vec; const int INF = 0x3f3f3f3f; struct jelly_t { int a, b; }; int find_maximum_unique(int x, int y, vec a, vec b) { int n = a.size(); std::vector<jelly_t> values(n); for (int i = 0; i < n; i++) values[i].a = a[i], values[i].b = b[i]; std::sort(values.begin(), values.end(), [](const jelly_t& j1, const jelly_t& j2) { return j1.b < j2.b; }); // dp1[i][t] = using exactly t dollars in store A, the min amount of money needed // to be spent on store B if we're to buy all the first i products. std::vector<vec> dp1(n + 1, vec(x + 1)); dp1[0][0] = 0; for (int t = 1; t <= x; t++) dp1[0][t] = INF; for (int k = 0; k < n; k++) { for (int t = 0; t <= x; t++) { dp1[k + 1][t] = dp1[k][t] + values[k].b; if (t >= values[k].a) dp1[k + 1][t] = std::min(dp1[k + 1][t], dp1[k][t - values[k].a]); } } // dp2[i][t] = max num of flavours we can buy, with t dollars in store A. std::vector<vec> dp2(n + 2, vec(x + 1)); dp2[n + 1][0] = 0; for (int t = 1; t <= x; t++) dp2[n + 1][t] = -INF; for (int k = n; k >= 1; k--) { for (int t = 0; t <= x; t++) { dp2[k][t] = dp2[k + 1][t]; if (t >= values[k - 1].a) dp2[k][t] = std::max(dp2[k][t], dp2[k + 1][t - values[k - 1].a] + 1); } } // exactly -> at most for (int k = 0; k <= n; k++) { for (int t = 1; t <= x; t++) dp1[k][t] = std::min(dp1[k][t], dp1[k][t - 1]); } int ans = 0; for (int k = 0; k <= n; k++) { for (int t = 0; t <= x; t++) { if (dp1[k][t] <= y) ans = std::max(ans, k + dp2[k + 1][x - t]); } } return ans; }
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