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github-actions 2021-09-17 17:03:36 +00:00
parent e6fb81d1bb
commit f981a2b979
3 changed files with 94 additions and 102 deletions

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@ -15,15 +15,13 @@ public class BruteForceKnapsack {
// capacity W
static int knapSack(int W, int wt[], int val[], int n) {
// Base Case
if (n == 0 || W == 0)
return 0;
if (n == 0 || W == 0) return 0;
// If weight of the nth item is
// more than Knapsack capacity W,
// then this item cannot be included
// in the optimal solution
if (wt[n - 1] > W)
return knapSack(W, wt, val, n - 1);
if (wt[n - 1] > W) return knapSack(W, wt, val, n - 1);
// Return the maximum of two cases:
// (1) nth item included
@ -34,8 +32,8 @@ public class BruteForceKnapsack {
// Driver code
public static void main(String args[]) {
int val[] = new int[] { 60, 100, 120 };
int wt[] = new int[] { 10, 20, 30 };
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));

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@ -16,12 +16,9 @@ public class DyanamicProgrammingKnapsack {
// 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];
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];
}
}
@ -30,8 +27,8 @@ public class DyanamicProgrammingKnapsack {
// Driver code
public static void main(String args[]) {
int val[] = new int[] { 60, 100, 120 };
int wt[] = new int[] { 10, 20, 30 };
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));

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@ -3,32 +3,31 @@ package DynamicProgramming;
// dynamic programming
public class MemoizationTechniqueKnapsack {
//A utility function that returns
//maximum of two integers
// A utility function that returns
// maximum of two integers
static int max(int a, int b) {
return (a > b) ? a : b;
}
//Returns the value of maximum profit
// Returns the value of maximum profit
static int knapSackRec(int W, int wt[], int val[], int n, int[][] dp) {
// Base condition
if (n == 0 || W == 0)
return 0;
if (n == 0 || W == 0) return 0;
if (dp[n][W] != -1)
return dp[n][W];
if (dp[n][W] != -1) return dp[n][W];
if (wt[n - 1] > W)
// Store the value of function call
// stack in table before return
return dp[n][W] = knapSackRec(W, wt, val, n - 1, dp);
else
// Return value of table after storing
return dp[n][W] = max((val[n - 1] + knapSackRec(W - wt[n - 1], wt, val, n - 1, dp)),
return dp[n][W] =
max(
(val[n - 1] + knapSackRec(W - wt[n - 1], wt, val, n - 1, dp)),
knapSackRec(W, wt, val, n - 1, dp));
}
@ -39,17 +38,15 @@ public class MemoizationTechniqueKnapsack {
// Loop to initially filled the
// table with -1
for (int i = 0; i < N + 1; i++)
for (int j = 0; j < W + 1; j++)
dp[i][j] = -1;
for (int i = 0; i < N + 1; i++) for (int j = 0; j < W + 1; j++) dp[i][j] = -1;
return knapSackRec(W, wt, val, N, dp);
}
//Driver Code
// Driver Code
public static void main(String[] args) {
int val[] = { 60, 100, 120 };
int wt[] = { 10, 20, 30 };
int val[] = {60, 100, 120};
int wt[] = {10, 20, 30};
int W = 50;
int N = val.length;