Mid From PDF Coding C# Coding Interview

Power of a Number (x^n) — Fast Exponentiation double Power(double x, int n) Follow on: { if (n == 0) return 1; double temp = Power(x, n / 2); if (n % 2 == 0) return temp * temp; else return (n > 0) ?

Short answer: x * temp * temp : (temp * temp) / x; Explanation: Recursive fast power divides exponent by 2 to reduce complexity to O(log n).

Explain a bit more

x * temp * temp : (temp * temp) / x; Explanation: Recursive fast power divides exponent by 2 to reduce complexity to O(log n). x * temp * temp : (temp * temp) / x; Explanation: Recursive fast power divides exponent by 2 to reduce complexity to O(log n). x * temp * temp : (temp * temp) / x; Explanation: Recursive fast power divides exponent by 2 to reduce complexity to O(log n).

Real-world example (ShopNest)

In coding rounds, state complexity aloud, write a clear ShopNest-flavored example (orders, carts), then handle edge cases (empty list, null, overflow).

Say this in the interview

  1. Define — one clear sentence (the short answer above).
  2. Example — relate it to a project like ShopNest or your real work.
  3. Trade-off — when you would not use it.
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