Submission #745193

#TimeUsernameProblemLanguageResultExecution timeMemory
745193MrBrionixCandies (JOI18_candies)C++17
8 / 100
2259 ms24608 KiB
#pragma GCC optimize("Ofast") #include<bits/stdc++.h> using namespace std; using i32 = std::int32_t; using i64 = std::int64_t; using u32 = std::uint32_t; using u64 = std::uint64_t; using isize = std::ptrdiff_t; using usize = std::size_t; const int MAXN = 200'005; const long long INF = 1'000'000'000'000'015; template <class Select> std::vector<usize> smawk(const usize row_size, const usize col_size, const Select &select) { using vec_zu = std::vector<usize>; const std::function<vec_zu(const vec_zu &, const vec_zu &)> solve = [&](const vec_zu &row, const vec_zu &col) -> vec_zu { const usize n = row.size(); if (n == 0) return {}; vec_zu c2; for (const usize i : col) { while (!c2.empty() && select(row[c2.size() - 1], c2.back(), i)) c2.pop_back(); if (c2.size() < n) c2.push_back(i); } vec_zu r2; for (usize i = 1; i < n; i += 2) r2.push_back(row[i]); const vec_zu a2 = solve(r2, c2); vec_zu ans(n); for (usize i = 0; i != a2.size(); i += 1) ans[i * 2 + 1] = a2[i]; usize j = 0; for (usize i = 0; i < n; i += 2) { ans[i] = c2[j]; const usize end = i + 1 == n ? c2.back() : ans[i + 1]; while (c2[j] != end) { j += 1; if (select(row[i], ans[i], c2[j])) ans[i] = c2[j]; } } return ans; }; vec_zu row(row_size); std::iota(row.begin(), row.end(), 0); vec_zu col(col_size); std::iota(col.begin(), col.end(), 0); return solve(row, col); } template<class T> vector<T> MaxConvolutionWithConvexShape(vector<T> anyShape, const vector<T> &convexShape) { if((int) convexShape.size() <= 1) return anyShape; if(anyShape.empty()) anyShape.push_back(0); int n = (int)anyShape.size(), m = (int)convexShape.size(); auto function = [&](int i, int j) { //if(i-j<0 || i-j>=m) return -LLONG_MAX/3ll; //if(j<0 || j>=n) return -LLONG_MAX/3ll; return anyShape[j] + convexShape[i-j]; }; auto comparator = [&](int i, int j, int k) { if(i < k) return false; if(i - j >= m) return true; return function(i, j) <= function(i, k); }; const vector<usize> best = smawk(n + m - 1 , n, comparator); vector<T> ans(n + m - 1); for(int i = 0; i < n + m - 1; i++) ans[i] = function(i, best[i]); return ans; } //$\mathit{ans}_i=\max_{j+k=i}(A_j+B_k)$ int n,r; long long a[MAXN]; struct dp{ vector<long long> mat[2][2]; dp(){} dp(int n){ mat[0][0]=vector<long long>(n+1,LLONG_MIN); mat[0][1]=vector<long long>(n+1,LLONG_MIN); mat[1][0]=vector<long long>(n+1,LLONG_MIN); mat[1][1]=vector<long long>(n+1,LLONG_MIN); } dp(vector<long long> a,vector<long long>b,vector<long long>c,vector<long long>d){ mat[0][0]=a; mat[0][1]=b; mat[1][0]=c; mat[1][1]=d; } }; dp f(int l,int r){ if(l+1==r){ return dp({0,-INF},{-INF,-INF},{-INF,-INF},{-INF,a[l]}); } if(l+2==r){ return dp({0,-INF,-2ll*INF-1ll},{-INF,a[l+1],-INF},{-INF,a[l],-INF},{-3ll*INF-3ll,-2*INF-1ll,-INF}); } dp res(r-l),le,ri; if((r-l)%2 == 1){ le = f(l,(l+r)/2+1); ri = f((l+r)/2,r); }else{ le = f(l,(l+r)/2); ri = f((l+r)/2-1,r); } for(int i=0;i<2;i++){ for(int j=0;j<2;j++){ for(int k=0;k<2;k++){ auto tmp = MaxConvolutionWithConvexShape(le.mat[i][k],ri.mat[k][j]); for(int ll=0;ll<=r-l;ll++){ res.mat[i][j][ll] = max(res.mat[i][j][ll],tmp[ll+k]-k*a[(r-l)%2 == 1 ? (l+r)/2 : (l+r)/2-1]); } } } } return res; } void solve(){ cin>>n; //cin>>r; //n = 90'000; for(int i=0;i<n;i++){ cin>>a[i]; //a[i]=10; } auto tmp = f(0,n); for(int i=1;i<=(n+1)/2;i++) cout<<max({tmp.mat[0][0][i],tmp.mat[0][1][i],tmp.mat[1][0][i],tmp.mat[1][1][i]})<<"\n"; } signed main(){ //ios::sync_with_stdio(false); //cin.tie(0); int t=1; //cin>>t; for(int i=1;i<=t;i++)solve(); return 0; }
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