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* Review the EN heading format. * Fix pythontutor headings. * Fix pythontutor headings. * bug fixes * Fix headings in **/summary.md * Revisit the CN-to-EN translation for Python code using Claude-4.5 * Revisit the CN-to-EN translation for Java code using Claude-4.5 * Revisit the CN-to-EN translation for Cpp code using Claude-4.5. * Fix the dictionary. * Fix cpp code translation for the multipart strings. * Translate Go code to English. * Update workflows to test EN code. * Add EN translation for C. * Add EN translation for CSharp. * Add EN translation for Swift. * Trigger the CI check. * Revert. * Update en/hash_map.md * Add the EN version of Dart code. * Add the EN version of Kotlin code. * Add missing code files. * Add the EN version of JavaScript code. * Add the EN version of TypeScript code. * Fix the workflows. * Add the EN version of Ruby code. * Add the EN version of Rust code. * Update the CI check for the English version code. * Update Python CI check. * Fix cmakelists for en/C code. * Fix Ruby comments
57 lines
1.6 KiB
C++
57 lines
1.6 KiB
C++
/**
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* File: fractional_knapsack.cpp
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* Created Time: 2023-07-20
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* Author: krahets (krahets@163.com)
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*/
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#include "../utils/common.hpp"
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/* Item */
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class Item {
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public:
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int w; // Item weight
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int v; // Item value
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Item(int w, int v) : w(w), v(v) {
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}
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};
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/* Fractional knapsack: Greedy algorithm */
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double fractionalKnapsack(vector<int> &wgt, vector<int> &val, int cap) {
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// Create item list with two attributes: weight, value
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vector<Item> items;
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for (int i = 0; i < wgt.size(); i++) {
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items.push_back(Item(wgt[i], val[i]));
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}
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// Sort by unit value item.v / item.w from high to low
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sort(items.begin(), items.end(), [](Item &a, Item &b) { return (double)a.v / a.w > (double)b.v / b.w; });
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// Loop for greedy selection
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double res = 0;
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for (auto &item : items) {
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if (item.w <= cap) {
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// If remaining capacity is sufficient, put the entire current item into the knapsack
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res += item.v;
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cap -= item.w;
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} else {
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// If remaining capacity is insufficient, put part of the current item into the knapsack
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res += (double)item.v / item.w * cap;
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// No remaining capacity, so break out of the loop
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break;
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}
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}
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return res;
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}
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/* Driver Code */
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int main() {
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vector<int> wgt = {10, 20, 30, 40, 50};
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vector<int> val = {50, 120, 150, 210, 240};
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int cap = 50;
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// Greedy algorithm
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double res = fractionalKnapsack(wgt, val, cap);
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cout << "Maximum item value not exceeding knapsack capacity is " << res << endl;
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return 0;
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}
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