/** * File: unbounded_knapsack.cs * Created Time: 2023-07-12 * Author: hpstory (hpstory1024@163.com) */ namespace hello_algo.chapter_dynamic_programming; public class unbounded_knapsack { /* Complete knapsack: Dynamic programming */ int UnboundedKnapsackDP(int[] wgt, int[] val, int cap) { int n = wgt.Length; // Initialize dp table int[,] dp = new int[n + 1, cap + 1]; // State transition for (int i = 1; i <= n; i++) { for (int c = 1; c <= cap; c++) { if (wgt[i - 1] > c) { // If exceeding the knapsack capacity, do not choose item i dp[i, c] = dp[i - 1, c]; } else { // The greater value between not choosing and choosing item i dp[i, c] = Math.Max(dp[i - 1, c], dp[i, c - wgt[i - 1]] + val[i - 1]); } } } return dp[n, cap]; } /* Complete knapsack: Space-optimized dynamic programming */ int UnboundedKnapsackDPComp(int[] wgt, int[] val, int cap) { int n = wgt.Length; // Initialize dp table int[] dp = new int[cap + 1]; // State transition for (int i = 1; i <= n; i++) { for (int c = 1; c <= cap; c++) { if (wgt[i - 1] > c) { // If exceeding the knapsack capacity, do not choose item i dp[c] = dp[c]; } else { // The greater value between not choosing and choosing item i dp[c] = Math.Max(dp[c], dp[c - wgt[i - 1]] + val[i - 1]); } } } return dp[cap]; } [Test] public void Test() { int[] wgt = [1, 2, 3]; int[] val = [5, 11, 15]; int cap = 4; // Dynamic programming int res = UnboundedKnapsackDP(wgt, val, cap); Console.WriteLine("The maximum value within the bag capacity is" + res); // Space-optimized dynamic programming res = UnboundedKnapsackDPComp(wgt, val, cap); Console.WriteLine("The maximum value within the bag capacity is" + res); } }