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https://github.com/krahets/hello-algo.git
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Update the text and code of DP.
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@@ -4,7 +4,7 @@
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* Author: hpstory (hpstory1024@163.com)
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*/
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namespace hello_algo.chapter_dynamic_programming;
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namespace hello_algo.chapter_dynamic_programming;
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public class knapsack {
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/* 0-1 背包:暴力搜索 */
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@@ -80,7 +80,7 @@ public class knapsack {
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dp[c] = dp[c];
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} else {
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// 不选和选物品 i 这两种方案的较大值
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dp[c] = Math.Max(dp[c - weight[i - 1]] + val[i - 1], dp[c]);
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dp[c] = Math.Max(dp[c], dp[c - weight[i - 1]] + val[i - 1]);
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}
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}
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}
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@@ -90,12 +90,13 @@ public class knapsack {
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[Test]
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public void Test() {
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int[] weight = { 10, 20, 30, 40, 50 };
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int[] val = { 60, 100, 120, 160, 200 };
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int[] val = { 50, 120, 150, 210, 240 };
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int cap = 50;
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int n = weight.Length;
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// 暴力搜索
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Console.WriteLine(knapsackDFS(weight, val, n, cap));
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int res = knapsackDFS(weight, val, n, cap);
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Console.WriteLine("不超过背包容量的最大物品价值为 " + res);
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// 记忆化搜索
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int[][] mem = new int[n + 1][];
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@@ -103,13 +104,15 @@ public class knapsack {
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mem[i] = new int[cap + 1];
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Array.Fill(mem[i], -1);
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}
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Console.WriteLine(knapsackDFSMem(weight, val, mem, n, cap));
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res = knapsackDFSMem(weight, val, mem, n, cap);
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Console.WriteLine("不超过背包容量的最大物品价值为 " + res);
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// 动态规划
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Console.WriteLine(knapsackDP(weight, val, cap));
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res = knapsackDP(weight, val, cap);
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Console.WriteLine("不超过背包容量的最大物品价值为 " + res);
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// 状态压缩后的动态规划
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Console.WriteLine(knapsackDPComp(weight, val, cap));
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res = knapsackDPComp(weight, val, cap);
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Console.WriteLine("不超过背包容量的最大物品价值为 " + res);
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}
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}
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