LeetCode Solutions Repository

Welcome to my LeetCode repository! This collection is a compilation of solutions to various LeetCode problems, aiming for minimal and efficient code. Each solution is designed to be as concise as possible while maintaining clarity and optimal performance.

Repository Structure

• Organized by Difficulty: Problems are grouped into folders based on difficulty level - Easy, Medium, and Hard.
• Solution Format: Each solution file contains:
  • Problem Statement: A brief description of the problem.
  • Approach: A minimized approach explaining the core idea and key steps.
  • Code: Optimized, well-documented code for readability.
  • Complexity Analysis: Time and space complexity of the solution.

Goals of This Repository

• Provide clear and efficient solutions for a wide range of LeetCode problems.
• Maintain a minimalistic coding approach to focus on solving problems effectively.
• Serve as a quick reference for interview preparation.

Solution Structure Example

Each problem solution follows a similar structure for consistency and ease of understanding:

Problem: Two Sum (Example) Difficulty: Easy

Problem Statement

Given an array of integers nums and an integer target, return the indices of the two numbers that add up to the target.

Approach

1. Use a hash map to store the difference between the target and each element as we iterate.
2. Check if the required number exists in the hash map.

Code

// Java code example
public int[] twoSum(int[] nums, int target) {
    Map<Integer, Integer> map = new HashMap<>();
    for (int i = 0; i < nums.length; i++) {
        int diff = target - nums[i];
        if (map.containsKey(diff)) {
            return new int[] { map.get(diff), i };
        }
        map.put(nums[i], i);
    }
    return new int[] {}; // Edge case if no solution found
}