Individuals and organizations build various data structures and algorithms to solve real-life problems. Furthermore, many data analysts tend to use Big-O notation for analyzing algorithms. a. In your own words, explain ways by which people can specify (i). data structures and (ii) algorithms, that they build and use.

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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Question 2
Individuals and organizations build various data structures and
algorithms to solve real-life problems. Furthermore, many data analysts
tend to use Big-O notation for analyzing algorithms.
a. In your own words, explain ways by which people can specify (i).
data structures and (ii) algorithms, that they build and use.
b. Given the following methods from the List interface draw the
final state of an initial empty Array List AS of student names
AS.add (0,George), AS.add (0,Christie), AS.add (0,Becky),
AS.add(2,Aba), AS.remove(1), AS.add(3,Devine), AS.add(0,
AS.remove(1))
c. William remarked that array elements can be accessed in
constant time by using the index of the element as the subscript.
As a level 200 student in Data Structures and Algorithms,
explain the rationality of this statement.
Transcribed Image Text:Question 2 Individuals and organizations build various data structures and algorithms to solve real-life problems. Furthermore, many data analysts tend to use Big-O notation for analyzing algorithms. a. In your own words, explain ways by which people can specify (i). data structures and (ii) algorithms, that they build and use. b. Given the following methods from the List interface draw the final state of an initial empty Array List AS of student names AS.add (0,George), AS.add (0,Christie), AS.add (0,Becky), AS.add(2,Aba), AS.remove(1), AS.add(3,Devine), AS.add(0, AS.remove(1)) c. William remarked that array elements can be accessed in constant time by using the index of the element as the subscript. As a level 200 student in Data Structures and Algorithms, explain the rationality of this statement.
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Question 3
Individuals and organizations build various data
structures and algorithms to solve real-life
problems. Furthermore, many data analysts tend
to use Big-O notation for analyzing algorithms.
In your own words, explain ways by which
people can specify
(i). data structures and (ii) algorithms, that
they build and use.
a)
b) Two Level 200 IT students, Nana Afiriyie
and Nana Agyemang, are contemplating on
how to compare two algorithms for solving
a given problem. Nana Agyemang suggests
that they should use the execution times of
the algorithms as criterion; but Nana
Afiriyie insists that they should use the
number of statements the algorithms
execute as criterion.
Explain the reasons why both criteria they are
considering are not good for comparing
algorithms.
HRecommend an ideal solution/criterion that
they should rather use for comparing
algorithms. Give a practical example to
illustrate your answer.
Referring to question a) above distinguish
between the O(N) and O(N²) and give a
practical example to illustrate your answers:
c)
Transcribed Image Text:Question 3 Individuals and organizations build various data structures and algorithms to solve real-life problems. Furthermore, many data analysts tend to use Big-O notation for analyzing algorithms. In your own words, explain ways by which people can specify (i). data structures and (ii) algorithms, that they build and use. a) b) Two Level 200 IT students, Nana Afiriyie and Nana Agyemang, are contemplating on how to compare two algorithms for solving a given problem. Nana Agyemang suggests that they should use the execution times of the algorithms as criterion; but Nana Afiriyie insists that they should use the number of statements the algorithms execute as criterion. Explain the reasons why both criteria they are considering are not good for comparing algorithms. HRecommend an ideal solution/criterion that they should rather use for comparing algorithms. Give a practical example to illustrate your answer. Referring to question a) above distinguish between the O(N) and O(N²) and give a practical example to illustrate your answers: c)
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