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hello-algo/en/codes/cpp/chapter_greedy/fractional_knapsack.cpp
Yudong Jin 14c314c08c Retranslate the complete English edition from Simplified Chinese (#2010)
* Retranslate the complete English edition from Simplified Chinese

* Polish three English explanations after reader-focused review
2026-10-31 03:35:51 +08:00

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C++

/**
* File: fractional_knapsack.cpp
* Created Time: 2023-07-20
* Author: krahets (krahets@163.com)
*/
#include "../utils/common.hpp"
/* Item */
class Item {
public:
int w; // Item weight
int v; // Item value
Item(int w, int v) : w(w), v(v) {
}
};
/* Fractional knapsack: greedy algorithm */
double fractionalKnapsack(vector<int> &wgt, vector<int> &val, int cap) {
// Create a list of items, each with two attributes: weight and value
vector<Item> items;
for (int i = 0; i < wgt.size(); i++) {
items.push_back(Item(wgt[i], val[i]));
}
// Sort by value per unit weight, item.v / item.w, in descending order
sort(items.begin(), items.end(), [](Item &a, Item &b) { return (double)a.v / a.w > (double)b.v / b.w; });
// Repeatedly make greedy choices
double res = 0;
for (auto &item : items) {
if (item.w <= cap) {
// If enough capacity remains, put the entire current item in the knapsack
res += item.v;
cap -= item.w;
} else {
// If the remaining capacity is insufficient, put part of the current item in the knapsack
res += (double)item.v / item.w * cap;
// No capacity remains, so exit the loop
break;
}
}
return res;
}
/* Driver code */
int main() {
vector<int> wgt = {10, 20, 30, 40, 50};
vector<int> val = {50, 120, 150, 210, 240};
int cap = 50;
// Greedy algorithm
double res = fractionalKnapsack(wgt, val, cap);
cout << "Maximum total item value within the knapsack capacity: " << res << endl;
return 0;
}