Recall & Review
beginner
What does algorithm efficiency mean?
Algorithm efficiency means how fast or slow an algorithm solves a problem, usually measured by how much time or memory it uses as the input size grows.
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beginner
Why is a fast algorithm better than a slow one?
A fast algorithm finishes tasks quicker, saving time and resources, especially when working with large amounts of data.
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beginner
What is a real-life analogy for algorithm efficiency?
Imagine sorting books on a shelf: a fast algorithm is like quickly grouping books by color in one pass, while a slow one checks each book many times, taking longer.
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intermediate
What does Big O notation describe?
Big O notation describes how the time or space an algorithm needs grows as the input size grows, helping compare efficiency without exact times.
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beginner
How does input size affect algorithm speed?
As input size grows, a slow algorithm's time can increase a lot, while a fast algorithm's time grows slowly, making it better for big inputs.
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Which algorithm is more efficient?
✗ Incorrect
The algorithm finishing in 2 seconds for 100 items is faster and more efficient for larger input.
What does a slow algorithm usually do as input grows?
✗ Incorrect
Slow algorithms take more time quickly as input size increases.
Big O notation helps us understand:
✗ Incorrect
Big O shows how time or space grows as input size grows.
Which is a good analogy for a fast algorithm?
✗ Incorrect
Sorting books by color in one pass is quick and efficient.
Why do we care about algorithm efficiency?
✗ Incorrect
Efficiency saves time and resources, making programs better.
Explain in your own words what makes an algorithm fast or slow.
Think about how long it takes to finish as you add more data.
You got /3 concepts.
Describe a real-life example that helps you understand algorithm efficiency.
Use something simple like sorting or searching in daily life.
You got /3 concepts.