These questions are about an abstract data type for sets of integers. The representation used will be sorted lists without duplicates. To help answer the questions, the following pseudocode of merge-sort for lists may be useful. It is assumed head(x) and tail(x) return the head (first element) and tail (remaining elements) of a list, respectively, and a procedure is available for splitting a list into two lists of approximately equal size.
// returns sorted version of list x
mergesort(x):
if x is empty or tail(x)
is empty then return x
split x into lists x1
and x2
s1 = mergesort(x1)
s2 = mergesort(x2)
return merge(s2, s2)
// returns merge of sorted lists s1 and s2
merge(s1, s2):
if s1 is empty then return s2
if s2 is empty then return s1
if head(s1) < head(s2) then
h = head(s1)
s3 = merge(tail(s1),
s2)
add h to front of
s3
return s3
else
h = head(s2)
s3 = merge(s1,
tail(s2))
add h to front of
s3
return s3
(a) Describe an algorithm (preferably using pseudo-code) to
determine if a number n is an element of a set s (a sorted list
without duplicates) and give the worst case time complexity.
(b) Describe an algorithm to convert an arbitrary list of integers
(not necessarily sorted or free of duplicates) to a set (sorted and
without duplicates) and give the worst case time complexity.
(c) Describe an algorithm to compute the union of two sets and give
the worst case time complexity (the union of two sets is the set of
elements which are in either of the two sets).
(d) Describe an algorithm to compute the intersection of two sets
and give the worst case time complexity (the intersection of two
sets is the set of elements which are in both of the two sets).
(e) Briefly argue why this representation of sets is better than a
representation which uses arbitrary lists.
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A+B⟶C+D
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[?] (?) |
Rate (M/s) |
| 1 | 0.350 |
0.300 | 0.0161 |
| 2 | 0.350 |
0.750 | 0.101 |
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k= _________? Mention the unit as well
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