38 lines
1.0 KiB
Java
38 lines
1.0 KiB
Java
package DynamicProgramming;
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/**
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* A DynamicProgramming based solution for 0-1 Knapsack problem
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*/
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public class Knapsack {
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private static int knapSack(int W, int wt[], int val[], int n) {
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int i, w;
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int rv[][] = new int[n + 1][W + 1]; //rv means return value
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// Build table rv[][] in bottom up manner
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for (i = 0; i <= n; i++) {
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for (w = 0; w <= W; w++) {
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if (i == 0 || w == 0)
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rv[i][w] = 0;
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else if (wt[i - 1] <= w)
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rv[i][w] = Math.max(val[i - 1] + rv[i - 1][w - wt[i - 1]], rv[i - 1][w]);
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else
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rv[i][w] = rv[i - 1][w];
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}
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}
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return rv[n][W];
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}
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// Driver program to test above function
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public static void main(String args[]) {
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int val[] = new int[]{50, 100, 130};
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int wt[] = new int[]{10, 20, 40};
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int W = 50;
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int n = val.length;
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System.out.println(knapSack(W, wt, val, n));
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}
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}
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