How can Product Managers access the efficiency of an algorithm while scaling their products?

Running time or big O notation

  • O refers to the order of the function or its growth rate, and
  • n is the length of the array to be sorted.

O(1) → Constant Time

O(n) → Linear Time

O(n²) → Quadratic Time

O(log n) → Logarithmic Time

O(n log n) → n log n time



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Rohit Verma

Rohit Verma


Senior Product Manager @AngelOne, ex-@Flipkart, @Cleartrip @IIM Bangalore. Interests: Product, Technology, Strategy, Startups, Fintech & E-commerce!