JavaAlgorithms/DynamicProgramming/DyanamicProgrammingKnapsack.java

40 lines
930 B
Java
Raw Normal View History

2021-09-18 01:02:57 +08:00
package DynamicProgramming;
// A Dynamic Programming based solution
// for 0-1 Knapsack problem
public class DyanamicProgrammingKnapsack {
static int max(int a, int b) {
return (a > b) ? a : b;
}
// Returns the maximum value that can
// be put in a knapsack of capacity W
static int knapSack(int W, int wt[], int val[], int n) {
int i, w;
int K[][] = new int[n + 1][W + 1];
// Build table K[][] in bottom up manner
for (i = 0; i <= n; i++) {
for (w = 0; w <= W; w++) {
if (i == 0 || w == 0)
K[i][w] = 0;
else if (wt[i - 1] <= w)
K[i][w] = max(val[i - 1] + K[i - 1][w - wt[i - 1]], K[i - 1][w]);
else
K[i][w] = K[i - 1][w];
}
}
return K[n][W];
}
// Driver code
public static void main(String args[]) {
int val[] = new int[] { 60, 100, 120 };
int wt[] = new int[] { 10, 20, 30 };
int W = 50;
int n = val.length;
System.out.println(knapSack(W, wt, val, n));
}
}