Two Sum

The video tutorial covers the 2-sum problem, a common interview question. It begins with an introduction to the problem and its constraints, followed by an example using a basic O(n^2) solution with nested loops. The tutorial then presents an optimized O(n) solution using a dictionary to store and access data efficiently. Finally, the video demonstrates coding the optimized solution and testing its performance.

What is the main objective of the 2 Sum problem?

What assumptions are made about the input in the 2 Sum problem?

What is the significance of the statement 'we cannot use the same element twice' in the context of the 2 Sum problem?

What is the expected output when the target is 9 and the array is [2, 7, 11, 15]?

What is the time complexity of the first approach discussed?

Describe the first approach to solving the 2 Sum problem.

How does the second approach to the 2 Sum problem differ from the first?

What data structure is used in the optimized solution for the 2 Sum problem?

Explain how the dictionary is utilized in the optimized solution.

Summarize the overall approach taken to solve the 2 Sum problem as discussed in the text.