..) T(n) = T(n/3) + c f(n) = versus n log, a = Which is growing faster: f(n) or nos, a? Which case of the Master Theorem does that potentially put us in? If you're potentially in case one or three is it possible to find an ensilon which n
..) T(n) = T(n/3) + c f(n) = versus n log, a = Which is growing faster: f(n) or nos, a? Which case of the Master Theorem does that potentially put us in? If you're potentially in case one or three is it possible to find an ensilon which n
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
![Theorem 1 (Master Theorem).
Let a 1 and b> 1 be constants, let f(n) be a function f: N→ R+, and let T(n) be defined on
the nonnegative integers by the recurrence
T(n) = aT(n/b) + f(n).
Then T(n) has the following asymptotic bounds:
1. if f(n) = O(nloga-) for some constant e > 0, then T(n) = (nossa),
2. if f(n) € (noga) then T(n) = O(noga log n), and
3. if f(n) = N(nloa+E) for some e > 0 and if af (n/b) ≤ df (n) for some constant d < 1 and
all sufficiently large n, then T(n) = (f(n)).
Use the Master Theorem above to solve the following recurrences when possible (note
that not every blank needs to be filled in in every problem):](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffb989860-4d1c-4fb5-9e6b-42a4528dce9c%2F7b3163a8-2d2a-4fac-b110-8ee3ff1e7f09%2Fb4tfmev_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Theorem 1 (Master Theorem).
Let a 1 and b> 1 be constants, let f(n) be a function f: N→ R+, and let T(n) be defined on
the nonnegative integers by the recurrence
T(n) = aT(n/b) + f(n).
Then T(n) has the following asymptotic bounds:
1. if f(n) = O(nloga-) for some constant e > 0, then T(n) = (nossa),
2. if f(n) € (noga) then T(n) = O(noga log n), and
3. if f(n) = N(nloa+E) for some e > 0 and if af (n/b) ≤ df (n) for some constant d < 1 and
all sufficiently large n, then T(n) = (f(n)).
Use the Master Theorem above to solve the following recurrences when possible (note
that not every blank needs to be filled in in every problem):
![1.) T(n) = T(n/3) + c
f(n) =
Which is growing faster: f(n) or n
Which case of the Master Theorem does that potentially put us in?
log, a =
versus n'
nlog, a?
If you're potentially in case one or three, is it possible to find an epsilon which makes
either f(n) = O(noga-) (if you're in case one) or f(n) = N(nloa+e) (if you're in
case three) true? Choose one or show an inequality.
If you're potentially in case three and there is an e, try to find a constant d < 1 such
that af (n/b) ≤ df (n) for large enough n's.
What can you conclude?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffb989860-4d1c-4fb5-9e6b-42a4528dce9c%2F7b3163a8-2d2a-4fac-b110-8ee3ff1e7f09%2Fivtijcv_processed.jpeg&w=3840&q=75)
Transcribed Image Text:1.) T(n) = T(n/3) + c
f(n) =
Which is growing faster: f(n) or n
Which case of the Master Theorem does that potentially put us in?
log, a =
versus n'
nlog, a?
If you're potentially in case one or three, is it possible to find an epsilon which makes
either f(n) = O(noga-) (if you're in case one) or f(n) = N(nloa+e) (if you're in
case three) true? Choose one or show an inequality.
If you're potentially in case three and there is an e, try to find a constant d < 1 such
that af (n/b) ≤ df (n) for large enough n's.
What can you conclude?
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