Algorithm Solutions: Path Search, String Ranking, and Knapsack Problems
D - Path Traversal
A straightforward depth-first search approach can solve this traversal problem.
int nodes, edges, max_steps, min_cost, max_cost;
vector<int> valid_endpoints;
vector<pair<int, int>> graph[MAX_NODES];
void traverse(int current_node, int current_cost, int steps_taken) {
if (current_cost > max_cost) retu ...
Posted on Fri, 29 May 2026 19:58:58 +0000 by volant
Solving Knapsack Problems with Dynamic Programming
The 0/1 knapsack problem involves selecting items where each item can be either taken or left (0 or 1 decision). Given N items with weights and values, maximize the total value without exceeding cpaacity V.
#include <iostream>
#include <algorithm>
using namespace std;
const int MAX = 1001;
int dp[MAX][MAX];
int weights[MAX], values ...
Posted on Mon, 11 May 2026 13:47:52 +0000 by macmonkey