結果

問題 No.957 植林
ユーザー KoDKoD
提出日時 2020-07-17 22:02:28
言語 C++17
(gcc 12.3.0 + boost 1.83.0)
結果
AC  
実行時間 81 ms / 2,000 ms
コード長 11,643 bytes
コンパイル時間 1,360 ms
コンパイル使用メモリ 102,676 KB
実行使用メモリ 15,616 KB
最終ジャッジ日時 2024-05-07 08:38:39
合計ジャッジ時間 6,024 ms
ジャッジサーバーID
（参考情報） 		judge5 / judge1
このコードへのチャレンジ
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テストケース

テストケース表示
入力 結果 実行時間
実行使用メモリ
testcase_00 AC 2 ms
6,812 KB
testcase_01 AC 2 ms
6,944 KB
testcase_02 AC 1 ms
6,940 KB
testcase_03 AC 36 ms
13,568 KB
testcase_04 AC 35 ms
12,928 KB
testcase_05 AC 36 ms
13,952 KB
testcase_06 AC 43 ms
14,336 KB
testcase_07 AC 34 ms
13,056 KB
testcase_08 AC 34 ms
13,440 KB
testcase_09 AC 35 ms
13,952 KB
testcase_10 AC 35 ms
14,080 KB
testcase_11 AC 35 ms
13,952 KB
testcase_12 AC 34 ms
13,568 KB
testcase_13 AC 29 ms
10,752 KB
testcase_14 AC 37 ms
14,720 KB
testcase_15 AC 34 ms
13,440 KB
testcase_16 AC 31 ms
10,752 KB
testcase_17 AC 33 ms
13,312 KB
testcase_18 AC 63 ms
13,568 KB
testcase_19 AC 65 ms
13,824 KB
testcase_20 AC 67 ms
14,080 KB
testcase_21 AC 69 ms
14,208 KB
testcase_22 AC 72 ms
14,464 KB
testcase_23 AC 73 ms
14,976 KB
testcase_24 AC 76 ms
14,976 KB
testcase_25 AC 80 ms
15,488 KB
testcase_26 AC 81 ms
15,488 KB
testcase_27 AC 78 ms
15,488 KB
testcase_28 AC 80 ms
15,488 KB
testcase_29 AC 80 ms
15,488 KB
testcase_30 AC 80 ms
15,488 KB
testcase_31 AC 64 ms
13,568 KB
testcase_32 AC 64 ms
13,824 KB
testcase_33 AC 66 ms
14,080 KB
testcase_34 AC 71 ms
14,208 KB
testcase_35 AC 72 ms
14,464 KB
testcase_36 AC 75 ms
14,976 KB
testcase_37 AC 78 ms
15,104 KB
testcase_38 AC 80 ms
15,488 KB
testcase_39 AC 80 ms
15,616 KB
testcase_40 AC 81 ms
15,488 KB
testcase_41 AC 27 ms
15,488 KB
testcase_42 AC 27 ms
15,488 KB
testcase_43 AC 52 ms
15,488 KB
testcase_44 AC 54 ms
15,488 KB
testcase_45 AC 2 ms
6,940 KB
testcase_46 AC 2 ms
6,940 KB
testcase_47 AC 2 ms
6,940 KB
権限があれば一括ダウンロードができます

ソースコード

diff # 

#line 1 "main.cpp"

#define PROBLEM "https://yukicoder.me/problems/no/957"

#line 2 "/Users/kodamankod/Desktop/Programming/Library/graph/network.cpp"

#include <cstddef>
#include <vector>
#include <numeric>
#include <utility>

template <class Edge>
class network {
public:
  using vertex_type = typename Edge::vertex_type;
  using edge_type   = Edge;
  using size_type   = size_t;

protected:
  std::vector<std::vector<edge_type>> M_graph;

public:
  network() = default;

  [[nodiscard]] vertex_type add_vertex() {
    vertex_type res = M_graph.size();
    M_graph.push_back({ });
    return res;
  }
  [[nodiscard]] std::vector<vertex_type> add_vertices(const size_type size) {
    size_type cur = M_graph.size();
    std::vector<vertex_type> res(size);
    std::iota(res.begin(), res.end(), cur);
    M_graph.resize(cur + size);
    return res;
  }
  
  void add_edge(const vertex_type src, const edge_type &edge) {
    M_graph[src].push_back(edge);
  }
  template <class... Args>
  void emplace_edge(const vertex_type src, Args&&... args) {
    M_graph[src].emplace_back(std::forward<Args>(args)...);
  }

  const std::vector<std::vector<edge_type>> &get() const {
    return M_graph;
  }
  size_type size() const {
    return M_graph.size();
  }
  bool empty() const {
    return M_graph.empty();
  }
  void clear() {
    M_graph.clear();
    M_graph.shrink_to_fit();
  }

};

class base_edge {
public:
  using vertex_type = size_t;
  const vertex_type dest;
  explicit base_edge(const vertex_type dest): 
    dest(dest) 
  { }
};

template <class Flow>
class flow_edge: public base_edge {
public:
  using vertex_type = typename base_edge::vertex_type;
  using flow_type   = Flow;
  const flow_type capacity;
  flow_type flow;
  explicit flow_edge(const vertex_type dest, const flow_type capacity):
    base_edge(dest), capacity(capacity), flow()
  { }
};

template <class Flow, class Cost>
class flow_cost_edge: public flow_edge<Flow> {
public:
  using vertex_type = typename flow_edge<Flow>::vertex_type;
  using flow_type   = typename flow_edge<Flow>::flow_type;
  using cost_type   = Cost;
  const cost_type cost;
  explicit flow_cost_edge(const vertex_type dest, const flow_type capacity, const cost_type cost):
    flow_edge<Flow>(dest, capacity), cost(cost)
  { }
};

/**
 * @title Network
 */
#line 2 "/Users/kodamankod/Desktop/Programming/Library/graph/push_relabel.cpp"

#line 5 "/Users/kodamankod/Desktop/Programming/Library/graph/push_relabel.cpp"
#include <queue>
#include <algorithm>
#line 9 "/Users/kodamankod/Desktop/Programming/Library/graph/push_relabel.cpp"
#include <type_traits>

namespace push_relabel_detail {

  class stack_helper {
  private:
    const size_t M_size;
    std::vector<size_t> M_stack;
  public:
    explicit stack_helper(const size_t size):
      M_size(size), M_stack(size * 2)
    { clear(); }
    size_t top(const size_t height) const {
      return M_stack[M_size + height];
    }
    bool empty(const size_t height) const { 
      return M_stack[M_size + height] == M_size + height; 
    }
    void pop(const size_t height) {
      M_stack[M_size + height] = M_stack[M_stack[M_size + height]];
    }
    void push(const size_t height, const size_t node) {
      M_stack[node] = M_stack[M_size + height];
      M_stack[M_size + height] = node;
    }
    void clear() {
      std::iota(M_stack.begin() + M_size, M_stack.end(), M_size);
    }
  };

  class list_helper {
  private:
    const size_t M_size;
    std::vector<std::pair<size_t, size_t>> M_list;
  public:
    explicit list_helper(const size_t size):
      M_size(size), M_list(size * 2)
    { clear(); }
    bool empty(const size_t height) {
      return M_list[M_size + height].second == M_size + height;
    }
    bool more_than_one(const size_t height) {
      return M_list[M_size + height].first != M_list[M_size + height].second;
    }
    void insert(const size_t height, const size_t node) {
      M_list[node].first = M_list[M_size + height].first;
      M_list[node].second = M_size + height;
      M_list[M_list[M_size + height].first].second = node;
      M_list[M_size + height].first = node;
    }
    void erase(const size_t node) {
      M_list[M_list[node].first].second = M_list[node].second;
      M_list[M_list[node].second].first = M_list[node].first;
    }
    void clear() {
      for (size_t index = M_size; index < M_size * 2; ++index) {
        M_list[index].first = M_list[index].second = index;
      }
    }
    void clear(const size_t height) {
      const size_t index = M_size + height;
      M_list[index].first = M_list[index].second = index;
    }
    template <class Func>
    void apply_all(const size_t height, Func &&func) {
      size_t index = M_list[M_size + height].second;
      while (index < M_size) {
        func(index);
        index = M_list[index].second;
      }
    }
  };

};

template <class Network>
class push_relabel {
public:
  using network_type = Network;
  using vertex_type  = typename Network::vertex_type;
  using edge_type    = typename Network::edge_type;
  using size_type    = typename Network::size_type;
  using flow_type    = typename Network::edge_type::flow_type;
  using height_type  = size_t;

  static_assert(std::is_integral<flow_type>::value, "invalid flow type :: non-integral");

private:
  class residual_edge {
  public:
    const vertex_type dest;
    flow_type remain;
    const size_type rev;
    const bool is_rev;
    explicit residual_edge(const vertex_type dest, const flow_type remain, 
      const size_type rev, const bool is_rev):
      dest(dest), remain(remain), rev(rev), is_rev(is_rev)
    { }
  };

  class node_type {
  public:
    std::vector<residual_edge> edges;
    flow_type excess;
    height_type height;
    size_type iter;
    node_type() = default;
  };

  residual_edge &M_cur_edge(const vertex_type node) {
    return M_graph[node].edges[M_graph[node].iter];
  }
  residual_edge &M_rev_edge(const residual_edge &edge) {
    return M_graph[edge.dest].edges[edge.rev];
  }
  void M_push(const vertex_type node, residual_edge &edge) {
    auto flow = std::min(M_graph[node].excess, edge.remain);
    edge.remain -= flow;
    M_rev_edge(edge).remain += flow;
    M_graph[node].excess -= flow;
    M_graph[edge.dest].excess += flow;
  }
  void M_relabel(const vertex_type node) {
    height_type min = M_graph.size() + 1;
    for (const auto &edge: M_graph[node].edges) {
      if (edge.remain > 0 && min > M_graph[edge.dest].height + 1) {
        min = M_graph[edge.dest].height + 1;
      }
    }
    M_graph[node].height = min;
  }

  std::vector<node_type> M_graph;

public:
  push_relabel() = default;
  explicit push_relabel(const network_type &net) {
    const auto &graph = net.get();
    M_graph.resize(graph.size());
    for (size_type src = 0; src < graph.size(); ++src) {
      for (const auto &edge: graph[src]) {
        M_graph[src].edges.emplace_back(edge.dest, edge.capacity, M_graph[edge.dest].edges.size(), false);
        M_graph[edge.dest].edges.emplace_back(src, 0, M_graph[src].edges.size() - 1, true);
      }
    }
  }

  flow_type max_flow(const vertex_type source, const vertex_type sink) {
    push_relabel_detail::stack_helper active(M_graph.size());
    push_relabel_detail::list_helper level(M_graph.size());
    height_type min_gap, max_active;
    {
      for (auto &node: M_graph) {
        node.excess = 0;
        node.height = M_graph.size() + 1;
        node.iter = 0;
        for (auto &edge: node.edges) {
          if (edge.is_rev) edge.remain = 0;
          else edge.remain = edge.remain + M_rev_edge(edge).remain;
        }
      }
      M_graph[sink].height = 0;
      std::queue<vertex_type> queue;
      queue.push(sink);
      while (!queue.empty()) {
        const auto node = queue.front();
        queue.pop();
        for (const auto &edge: M_graph[node].edges) {
          if (M_rev_edge(edge).remain > 0) {
            if (M_graph[edge.dest].height == M_graph.size() + 1) {
              M_graph[edge.dest].height = M_graph[node].height + 1;
              queue.push(edge.dest);
            }
          }
        }
      }
      if (M_graph[source].height == M_graph.size() + 1) {
        return 0;
      }
      for (auto &edge: M_graph[source].edges) {
        M_graph[source].excess += edge.remain;
        M_push(source, edge);
      }
      M_graph[source].height = M_graph.size();
      min_gap = M_graph.size();
      max_active = 0;
      for (size_type index = 0; index < M_graph.size(); ++index) {
        const auto &node = M_graph[index];
        if (node.height < M_graph.size()) {
          if (node.excess > 0 && index != sink) {
            active.push(node.height, index);
            max_active = std::max(max_active, node.height);
          }
          level.insert(node.height, index);
        }
      }
      for (size_type index = 0; index < M_graph.size(); ++index) {
        if (level.empty(index)) {
          min_gap = index;
          break;
        }
      }
    }
    while (max_active > 0) {
      if (active.empty(max_active)) {
        --max_active;
        continue;
      }
      const auto node = active.top(max_active);
      active.pop(max_active);
      while (true) {
        auto &edge = M_cur_edge(node);
        if (edge.remain > 0 && M_graph[node].height == M_graph[edge.dest].height + 1) {
          if (M_graph[edge.dest].excess == 0 && edge.dest != sink) {
            active.push(M_graph[edge.dest].height, edge.dest);
            max_active = std::max(max_active, M_graph[edge.dest].height);
          }
          M_push(node, edge);
          if (M_graph[node].excess == 0) {
            break;
          }
        }
        M_graph[node].iter++;
        if (M_graph[node].iter == M_graph[node].edges.size()) {
          M_graph[node].iter = 0;
          if (level.more_than_one(M_graph[node].height)) {
            level.erase(node);
            M_relabel(node);
            if (M_graph[node].height > min_gap) {
              M_graph[node].height = M_graph.size() + 1;
              break;
            }
            if (M_graph[node].height == min_gap) {
              ++min_gap;
            }
            level.insert(M_graph[node].height, node);
          }
          else {
            for (height_type index = M_graph[node].height; index < min_gap; ++index) {
              level.apply_all(index, [&](const vertex_type tmp) {
                M_graph[tmp].height = M_graph.size() + 1;
              });
              level.clear(index);
            }
            break;
          }
        }
      }
      max_active = std::min(max_active, min_gap - 1);
    }
    return M_graph[sink].excess;
  }

};

/**
 * @title Push Relabel
 */
#line 6 "main.cpp"

#line 8 "main.cpp"
#include <cstdint>
#include <iostream>

int main() {
  size_t H, W;
  std::cin >> H >> W;
  network<flow_edge<int64_t>> graph;
  const auto source = graph.add_vertex();
  const auto sink = graph.add_vertex();
  const auto row = graph.add_vertices(H);
  const auto column = graph.add_vertices(W);
  std::vector<int64_t> accum(H);
  for (size_t i = 0; i < H; ++i) {
    for (size_t j = 0; j < W; ++j) {
      int32_t g;
      std::cin >> g;
      accum[i] += g;
      graph.emplace_edge(row[i], column[j], g);
    }
  }
  int64_t sum = 0;
  for (size_t i = 0; i < H; ++i) {
    int64_t r;
    std::cin >> r;
    int64_t min = std::min(accum[i], r);
    sum += r - min;
    graph.emplace_edge(source, row[i], accum[i] - min);
  }
  for (size_t j = 0; j < W; ++j) {
    int64_t r;
    std::cin >> r;
    sum += r;
    graph.emplace_edge(column[j], sink, r);
  }
  std::cout << sum - push_relabel(graph).max_flow(source, sink) << '\n';
  return 0;
}
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