Grokking Algorithm Complexity and Big-O
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Trade-offs in Algorithm Design
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Trade-offs in Algorithm Design

When optimizing algorithms, you often face trade-offs between time and space complexity. Improving one can make the other worse. Here's how these trade-offs work:

  1. Using More Memory to Save Time:

    • Example: Precomputing results and storing them in a table (caching) can make future operations faster, but it requires extra memory.
    • Benefit: Faster access speeds at the cost of increased space usage.
    • Scenario: In gaming, preloading game assets into memory allows for smoother gameplay.

  2. Saving Memory at the Cost of Time:

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