This is an implementation of the 0-1 knapsack problem in C using a recursive approach. 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 knapsack_recursive.c
file in your project and call the knapSackRecursive()
function with the following parameters:
W
: the maximum weight capacity of the knapsackwt[]
: an array of weights for each itemval[]
: an array of values for each itemn
: 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_recursive.c"
int main()
{
int W = 50;
int wt[] = {10, 20, 30};
int val[] = {60, 100, 120};
int n = sizeof(wt)/sizeof(wt[0]);
printf("%d", knapSackRecursive(W, wt, val, n));
return 0;
}
The time complexity of this implementation is O(2^n)
where n
is the number of items, W is the knapsack capacity. The space complexity is O(n)
for the recursive call stack.
This is a naive implementation of the problem, it will have exponential time complexity and will not be efficient for large inputs. Consider using dynamic programming techniques such as Memoization or Tabulation to improve the performance.
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