plz send correct answer asap (Problem 8) Choose ALL correct statements, if more than one is correct.Which of the following statements is true for a big-O estimate on the size (time complexity)of the output s based on the size of the input n for the following algorithms?1: procedure F(n: integer)procedure G(n: integer) procedure H(n: integer)2:S := 0S := 0S := 03:for i := 1 ton dofor i := 1 to 2n dofor i := 1 to 3n do4:for j := 1 to 10 dofor j := 1 to i dos := s + 15:S := s + 1s := s + 1end for6:end forend forfor j := 1 to 2n do7:end forend forS := s – 18 :return sreturn send for9 :end procedureend procedurereturn10 :end procedure(A) Algorithm F is O(1).(B) Algorithm F is © (n).(C) Algorithm G is ©(n).(D) Algorithm G is O (n²).(E)Algorithm H is © (n).(F) Algorithm H is O(n²).

Given :- The concept of time complexity & asymptotic notation in Algorithms Need to choose…

Answered: (time complexity)

Engineering

Computer Science

(time complexity)

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

plz send correct answer asap

(Problem 8) Choose ALL correct statements, if more than one is correct.
Which of the following statements is true for a big-O estimate on the size (time complexity)
of the output s based on the size of the input n for the following algorithms?
1: procedure F(n: integer)
procedure G(n: integer) procedure H(n: integer)
2:
S := 0
S := 0
S := 0
3:
for i := 1 ton do
for i := 1 to 2n do
for i := 1 to 3n do
4:
for j := 1 to 10 do
for j := 1 to i do
s := s + 1
5:
S := s + 1
s := s + 1
end for
6:
end for
end for
for j := 1 to 2n do
7:
end for
end for
S := s – 1
8 :
return s
return s
end for
9 :
end procedure
end procedure
return
10 :
end procedure
(A) Algorithm F is O(1).
(B) Algorithm F is © (n).
(C) Algorithm G is ©(n).
(D) Algorithm G is O (n²).
(E)
Algorithm H is © (n).
(F) Algorithm H is O(n²).

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