THINK++ — Engineering Visualized

📖 LESSON

Best, Average & Worst Case

An algorithm's performance can vary significantly depending on the specific input. We use three primary cases to describe this behavior.

Worst Case

Big O

Maximum time an algorithm will take. (Most important for guarantees)

Average Case

Theta (θ)

Expected time for a typical input.

Best Case

Omega (Ω)

Minimum time required for the ideal input.

Best Average Worst Case

Simulation Lab v2.0

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Timeline

1/6

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Speed1000ms

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💡 Why Worst Case?

In competitive programming and system design, we prioritize the **Worst Case**. It provides an upper bound that ensures the program will never take longer than a certain limit, regardless of the input.

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