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Prove, using the definition of Big-Oh that r + 3 is O(r2) r + 3 is...

  1. Prove, using the definition of Big-Oh that
    1. r + 3 is O(r2)
    2. r + 3 is O(r)
  2. Experimentally (use charts to) analyze the runtime of an algorithm which performs T(w) operations when the input to the algorithm is size w. Hint: chart it against 2n.

T(0) = T(1) = 3

T(a) = 2*T(a-2)+T(a-1)

use big-oh proof

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