What is the worst-case running time of LABELEVERYTHING if we implement FIND without path compression?

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
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3. Suppose you are given a collection of up-trees representing a partition of the set {1,2,..., n} into
disjoint subsets. You have no idea how these trees were constructed. You are also given an
array node[1.. n], where node[i] is a pointer to the up-tree node containing element i. Your task
is to create a new array label[1..n] using the following algorithm:
LABELEVERYTHING:
for i + 1 ton
label[i] – FIND(node[i])
(a) What is the worst-case running time of LABELEVERYTHING if we implement FIND without path
compression?
(b) Prove that if we implement FIND using path compression, LABELEVERYTHING runs in O(n)
time in the worst case.
Transcribed Image Text:3. Suppose you are given a collection of up-trees representing a partition of the set {1,2,..., n} into disjoint subsets. You have no idea how these trees were constructed. You are also given an array node[1.. n], where node[i] is a pointer to the up-tree node containing element i. Your task is to create a new array label[1..n] using the following algorithm: LABELEVERYTHING: for i + 1 ton label[i] – FIND(node[i]) (a) What is the worst-case running time of LABELEVERYTHING if we implement FIND without path compression? (b) Prove that if we implement FIND using path compression, LABELEVERYTHING runs in O(n) time in the worst case.
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