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Add the chapter of greedy. (#633)
Add the section of fractional knapsack.
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@@ -17,3 +17,4 @@ add_subdirectory(chapter_sorting)
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add_subdirectory(chapter_divide_and_conquer)
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add_subdirectory(chapter_backtracking)
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add_subdirectory(chapter_dynamic_programming)
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add_subdirectory(chapter_greedy)
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2
codes/cpp/chapter_greedy/CMakeLists.txt
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2
codes/cpp/chapter_greedy/CMakeLists.txt
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@@ -0,0 +1,2 @@
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add_executable(coin_change_greedy coin_change_greedy.cpp)
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add_executable(fractional_knapsack fractional_knapsack.cpp)
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60
codes/cpp/chapter_greedy/coin_change_greedy.cpp
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60
codes/cpp/chapter_greedy/coin_change_greedy.cpp
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@@ -0,0 +1,60 @@
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/**
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* File: coin_change_greedy.cpp
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* Created Time: 2023-07-20
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* Author: Krahets (krahets@163.com)
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*/
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#include "../utils/common.hpp"
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/* 零钱兑换:贪心 */
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int coinChangeGreedy(vector<int> &coins, int amt) {
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// 假设 coins 列表有序
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int i = coins.size() - 1;
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int count = 0;
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// 循环进行贪心选择,直到无剩余金额
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while (amt > 0) {
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// 找到小于且最接近剩余金额的硬币
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while (coins[i] > amt) {
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i--;
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}
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// 选择 coins[i]
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amt -= coins[i];
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count++;
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}
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// 若未找到可行方案,则返回 -1
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return amt == 0 ? count : -1;
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}
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/* Driver Code */
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int main() {
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// 贪心:能够保证找到全局最优解
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vector<int> coins = {1, 5, 10, 20, 50, 100};
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int amt = 186;
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int res = coinChangeGreedy(coins, amt);
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cout << "\ncoins = ";
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printVector(coins);
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cout << "amt = " << amt << endl;
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cout << "凑到 " << amt << " 所需的最少硬币数量为 " << res << endl;
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// 贪心:无法保证找到全局最优解
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coins = {1, 20, 50};
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amt = 60;
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res = coinChangeGreedy(coins, amt);
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cout << "\ncoins = [";
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printVector(coins);
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cout << "amt = " << amt << endl;
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cout << "凑到 " << amt << " 所需的最少硬币数量为 " << res << endl;
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cout << "实际上需要的最少数量为 3 ,即 20 + 20 + 20" << endl;
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// 贪心:无法保证找到全局最优解
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coins = {1, 49, 50};
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amt = 98;
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res = coinChangeGreedy(coins, amt);
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cout << "\ncoins = [";
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printVector(coins);
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cout << "amt = " << amt << endl;
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cout << "凑到 " << amt << " 所需的最少硬币数量为 " << res << endl;
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cout << "实际上需要的最少数量为 2 ,即 49 + 49" << endl;
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return 0;
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}
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56
codes/cpp/chapter_greedy/fractional_knapsack.cpp
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56
codes/cpp/chapter_greedy/fractional_knapsack.cpp
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@@ -0,0 +1,56 @@
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/**
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* File: fractional_knapsack.cpp
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* Created Time: 2023-07-20
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* Author: Krahets (krahets@163.com)
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*/
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#include "../utils/common.hpp"
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/* 物品 */
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class Item {
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public:
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int w; // 物品重量
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int v; // 物品价值
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Item(int w, int v) : w(w), v(v) {
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}
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};
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/* 分数背包:贪心 */
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double fractionalKnapsack(vector<int> &wgt, vector<int> &val, int cap) {
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// 创建物品列表,包含两个属性:重量、价值
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vector<Item> items;
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for (int i = 0; i < wgt.size(); i++) {
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items.push_back(Item(wgt[i], val[i]));
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}
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// 按照单位价值 item.v / item.w 从高到低进行排序
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sort(items.begin(), items.end(), [](Item &a, Item &b) { return (double)a.v / a.w > (double)b.v / b.w; });
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// 循环贪心选择
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double res = 0;
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for (auto &item : items) {
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if (item.w <= cap) {
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// 若剩余容量充足,则将当前物品整个装进背包
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res += item.v;
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cap -= item.w;
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} else {
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// 若剩余容量不足,则将当前物品的一部分装进背包
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res += (double)item.v / item.w * cap;
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// 已无剩余容量,因此跳出循环
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break;
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}
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}
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return res;
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}
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/* Driver Code */
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int main() {
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vector<int> wgt = {10, 20, 30, 40, 50};
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vector<int> val = {50, 120, 150, 210, 240};
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int cap = 50;
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// 贪心算法
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double res = fractionalKnapsack(wgt, val, cap);
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cout << "不超过背包容量的最大物品价值为 " << res << endl;
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return 0;
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}
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@@ -3,4 +3,4 @@ add_executable(array_hash_map_test array_hash_map_test.cpp)
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add_executable(hash_map_chaining hash_map_chaining.cpp)
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add_executable(hash_map_open_addressing hash_map_open_addressing.cpp)
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add_executable(simple_hash simple_hash.cpp)
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add_executable(built_in_hash built_in_hash.cpp)
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add_executable(built_in_hash built_in_hash.cpp)
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