Generating Permutations and Combinations Using Depth-First Search

Permutations This article demonstrates a method for generating all permutations of a set of numbers using depth-first search (DFS). #include <iostream> #include <vector> #include <algorithm> using namespace std; const int MAX_SIZE = 100010; int size, sequence[MAX_SIZE]; bool visited[MAX_SIZE]; void generatePermutations(int ...

Posted on Tue, 04 Aug 2026 17:03:36 +0000 by nominator

Backtracking Algorithms for Combination Problems in LeetCode

Overview of Backtracking Backtracking is a systematic way to explore all potential solutions by building combinations incrementally and backtracking when a path fails to meet constraints. It's particularly useful for problems like combinations, permutations, subsets, and other combinatorial searches. Common problem types solved with backtrackin ...

Posted on Sat, 01 Aug 2026 17:00:22 +0000 by saras

Backtracking Algorithm: Fundamentals, Combinations, and Pruning

Backtracking Algorithm Understanding Backtracking Backtracking solves problems by exploring all possible solutions in a systematic way, often represented as a tree structure. The algorithm recursively searches through subsets, where the size of the original set determines the tree's width, and the recursion depth determines its height. Since re ...

Posted on Mon, 13 Jul 2026 17:21:59 +0000 by ashbai

Unbounded Knapsack Dynamic Programming: Combinations vs Permutations

Unbounded Knapsack ProblemIn the classic 0/1 Knapsack problem, each item can be selected at most once. The Unbounded Knapsack problem modifies this constraint: each item can be chosen an unlimited number of times. Consider a knapsack with a maximum capacity of 4, and the following items:ItemWeightValueA115B320C430The core difference in implemen ...

Posted on Sun, 17 May 2026 17:18:17 +0000 by bbristow