Choose the least ranked sample algorithm from the table and apply optimization techniques to enhance the performance of the lower ranked algorithm. Name of sampleTechniques algorithmTime complexity(in Big Onotations)Rankingbased on theName ofSpaceComplexity(in bytes)complexities1. Sorting1.1Selection sort1.2Bubble sort1.1 Ω(2)1.2 Q(n)1.3 N(n)1.4 2(n log(n))1.5 N(n log(n))1.6 Q(n log(n))1.1 O(1)1.2 O(1)1.3 O(1)1.4 O(1)1.5 O(log N)1.6 O(N)Quick sort isthe bestBrute Forcesortingalgorithmand its1.3Insertion sort1.4Heap sort1.5Quicksort1.6Merge Sortcomplexityis n log(n)1. Quick sort2. Merge sort3. Closest Pairof points1. Q(n log(n))2. Q(n log(n))3. T(n) = T(n ×Log n x Log n)4. O(N³)5. O(N log(N))6. O(nlog, 3)1. O(log N)2. O(N)3. O(N)4. O(N)5. O(N)6. O(N)Quick andmerge isconsideredDivideandConqueras the bestdivide and4. Strassen'sAlgorithm5. Cooley-TukeyconqueralgorithmFas Fourierbecause itscomplexityis O(nlog(n))Transform(FFT)algorithm6. Karatsubaalgorithm forfastmultiplication

Algorithm of divide and conquer and brute force are used to find the element in their own way . list…

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hoose the least ranked sample algorithm from the table and apply optimization techniques to enhance the performance of the lower ranked algorithm.

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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Question

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Choose the least ranked sample algorithm from the table and apply optimization techniques to enhance the performance of the lower ranked algorithm.

Name of sample
Techniques algorithm
Time complexity
(in Big O
notations)
Ranking
based on the
Name of
Space
Complexity
(in bytes)
complexities
1. Sorting
1.1Selection sort
1.2Bubble sort
1.1 Ω(2)
1.2 Q(n)
1.3 N(n)
1.4 2(n log(n))
1.5 N(n log(n))
1.6 Q(n log(n))
1.1 O(1)
1.2 O(1)
1.3 O(1)
1.4 O(1)
1.5 O(log N)
1.6 O(N)
Quick sort is
the best
Brute Force
sorting
algorithm
and its
1.3Insertion sort
1.4Heap sort
1.5Quicksort
1.6Merge Sort
complexity
is n log(n)
1. Quick sort
2. Merge sort
3. Closest Pair
of points
1. Q(n log(n))
2. Q(n log(n))
3. T(n) = T(n ×
Log n x Log n)
4. O(N³)
5. O(N log(N))
6. O(nlog, 3)
1. O(log N)
2. O(N)
3. O(N)
4. O(N)
5. O(N)
6. O(N)
Quick and
merge is
considered
Divide
and
Conquer
as the best
divide and
4. Strassen's
Algorithm
5. Cooley-Tukey
conquer
algorithm
Fas Fourier
because its
complexity
is O(n
log(n))
Transform
(FFT)
algorithm
6. Karatsuba
algorithm for
fast
multiplication

Process or set of rules that allow for the solving of specific, well-defined computational problems through a specific series of commands. This topic is fundamental in computer science, especially with regard to artificial intelligence, databases, graphics, networking, operating systems, and security.

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