hello-algo/en/codes/csharp/chapter_dynamic_programming/unbounded_knapsack.cs

65 lines
2.1 KiB
C#

/**
* 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);
}
}