Solve the following recurrence equations, expressing the answer in Big-Oh notation. Assume that T(n) is constant for sufficiently small n.
a.) T(n) = T(n - 1) + logn
b.) T(n) = T(n - 3) + n
a. T(n) = T(n-1) + log n
= T(n-2) + log (n-1) + log n
.
.
= T(1) + log 2 + log 3 +.....+ log n
Assuming T(1) = c (constant)
And by additive property of log, we get
T(n) = log (n(n-1)...2.1) + c = log (n!) + c
Since n!
O((n/2)n/2)
Hence T(n) =O( log (n/2)n/2) + c = O(n log n)
b. Without loss of generality, assume n = 3k
T(n) = T(n-3) + n
= T(n-6) + (n-3) + n
= T(n-9) + (n-6) + (n-3) + n
.
.
= 3 + 6 + 9+ ...... + (3k -3) + 3k
= 3(1+2+....+(k-1) + k) = 3k(k+1)/2
=n(n/3 + 1)/2 = O(n2)
Hence T(n) = O(n2)
Please comment for any clarification .
Solve the following recurrence equations, expressing the answer in Big-Oh notation. Assume that T(n) is constant...
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Can I get help with this question?
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Solve exactly using the iteration method the following
recurrence T(n) = 2T(n/2) + 6n, with T(8) = 12. You may assume that
n is a power of two.
Please explain your answer.
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