Podcast
Questions and Answers
What role does the dictionary play in solving the problem of finding two numbers that add up to a target?
What role does the dictionary play in solving the problem of finding two numbers that add up to a target?
What is the time complexity of the solution provided for finding the indices?
What is the time complexity of the solution provided for finding the indices?
In what scenario will the algorithm return an empty list?
In what scenario will the algorithm return an empty list?
What happens when a complement is found during the iteration?
What happens when a complement is found during the iteration?
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What is the space complexity associated with the algorithm?
What is the space complexity associated with the algorithm?
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Why use the function enumerate()
in Python?
Why use the function enumerate()
in Python?
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Study Notes
Finding Two Sum Indices
- Use a dictionary (
seen
) to store numbers and their indices for fast lookups (O(1)). - Iterate through the input list (
nums
) usingenumerate
to get both the number and its index. - For each number (
num
), calculate its complement (secondNum = target - num
). - Check if the complement exists as a key in the
seen
dictionary. - If the complement exists, return the current index (
i
) and the index of the complement from theseen
dictionary. - If no complement is found, store the current number (
num
) and its index (i
) in theseen
dictionary. - If no pair is found after iterating through the entire list, return an empty list (
[]
).
Time and Space Complexity
- Time Complexity: O(n) – The algorithm iterates through the input list only once.
- Space Complexity: O(n) – In the worst case, all numbers and their indices are stored in the
seen
dictionary.
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Description
Test your understanding of the Two Sum problem using dictionaries for efficient lookups. This quiz covers the entire algorithm, including time and space complexity analysis. Perfect for students studying data structures and algorithms.