Podcast
Questions and Answers
What best describes the time complexity of accessing an element by index in a list?
What best describes the time complexity of accessing an element by index in a list?
- O(1) (correct)
- O(n)
- O(log n)
- O(n^2)
Which sorting algorithm is characterized by its O(n^2) time complexity?
Which sorting algorithm is characterized by its O(n^2) time complexity?
- Selection Sort (correct)
- Insertion Sort
- Quick Sort
- Merge Sort
Which description is accurate regarding the Selection Sort algorithm?
Which description is accurate regarding the Selection Sort algorithm?
- It repeatedly finds the minimum element from the unsorted part. (correct)
- It uses recursion to sort elements.
- It divides the array into equal halves in each iteration.
- It sorts the elements in logarithmic time.
Flashcards
Time complexity
Time complexity
A way of measuring how the runtime of an algorithm scales with the size of the input, expressed using "Big O notation".
Big O notation
Big O notation
A notation that describes the asymptotic behavior of a function. It's used to classify algorithms based on their efficiency.
O(1)
O(1)
Indicates that the runtime of an algorithm stays constant regardless of the input size. For example, accessing an element in a list by its index.
O(n)
O(n)
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O(n^2)
O(n^2)
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Description
Explore various sorting algorithms available in Python, including Bubble Sort, Insertion Sort, Selection Sort, and Merge Sort. This quiz tests your understanding of how these algorithms work and their complexities. Enhance your programming skills by mastering these essential concepts.
