Two Sum Leetcode | Sum Of Two Integers Leetcode | DSA Tutorial | Intellipaat
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🔵 Solving the Two Sum Problem on LeetCode-DSA
In this tutorial, We will dive into the problem statement, discuss different approaches to solving a sum Problem, Talk about the Time and Space complexity of different approaches, and provide a step-by-step coding Implementation. Whether you're preparing for coding interviews or just want to sharpen your algorithmic skills, this video is for you.
🔵 Following topics are covered in this session:
00:00 - Introduction
01:12 - Understanding the Problem (Approach 1)
02:48 - Coding Solution for This Problem Using C++
04:54 - Time and Space Complexity
05:05 - Hash Map (Approach 2)
06:58 - Coding Solution for This Problem Using C++
#TwoSumLeetcode #SumOfTwoIntegerLeetcode #DSATutorial #Intellipaat
🔵 What is the Two-Sum Problem?
In the Two Sum problem, we will be given an array of integers and a target value. To solve this problem,
we need to return the indices of these two integers from the array whose addition equals the target value.
For example, you are given an array [1, 2, 3, 4], and the target value is 3. Then we have to return the indices (0,1).
🔵 How do you solve the Two Sum algorithm?
Various approaches to solve the Two Sum Problem.
Brute force approach: The brute-force solution for the Two Sum problem involves iterating through the list of numbers and checking for pairs that add up to the target sum.
It uses nested loops to compare every possible pair of elements in the list, returning the indices of the matching pair when found.
This approach has a time complexity of O(n^2), where n is the number of elements in the list, making it less efficient than other methods that achieve O(n) time complexity.
🔵 Hashing approach: The optimal solution for the Two Sum problem uses a hash map (dictionary) to achieve a time complexity of O(n),
where n is the number of elements in the input list.
It iterates through the list of numbers once, storing each number and its index in the dictionary.
When it encounters a number, it checks if its complement (target minus the current number) exists in the dictionary.
If found, it returns the indices of the pair that add up to the target sum.
This approach is more efficient than the brute-force method and is widely used for solving the Two Sum problem.
🔵 What is HashMap?
A hashmap, also known as a dictionary or hash table, is a data structure that stores key-value pairs.
It uses a hash function to convert keys into array indices, enabling efficient data retrieval and insertion.
Hashmaps offer fast access times (O(1) on average) and are commonly used in programming for tasks like storing data,
implementing sets and dictionaries, and optimizing search operations due to their efficiency and versatility.
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