This is an implementation of the 0-1 knapsack problem in C using a greedy algorithm. The problem consists of a set of items, each with a weight and a value, and a knapsack with a maximum weight capacity. The goal is to determine the subset of items that maximizes the total value of the knapsack without exceeding its weight capacity.
To use this implementation, include the 0-1knapsack_greedy.c file in your project and call the knapSackGreedy() function with the following parameters:
W: the maximum weight capacity of the knapsackitems[]: an array of Item structs, each containing a value and weight propertyn: the number of items
The function will return the maximum value that can be put in the knapsack without exceeding its weight capacity.
#include "knapsack_greedy.c"
int main()
{
int W = 50;
Item items[] = {{60, 10}, {100, 20}, {120, 30}};
int n = sizeof(items)/sizeof(items[0]);
qsort(items, n, sizeof(items[0]), cmp);
printf("%d", knapSackGreedy(W, items, n));
return 0;
}The time complexity of this implementation is O(nlogn) where n is the number of items, W is the knapsack capacity. The space complexity is O(n) for the sorting algorithm.
This is a greedy algorithm, it guarantees that the solution is at least as good as the optimal solution, however, it doesn't guarantee that it is optimal.
I hope this implementation helps you solve the 0-1 knapsack problem in your project. If you have any questions or suggestions, feel free to reach out.
Copyright (c) 2022, Max Base