30. Consider the following algorithm: j = 1; while (j <= n/2) { i = 1; while (i <= j) { cout « j << i; i++; } j++; } (a) What is the output when n = 6, n = 8, and n = 10? (b) What is the time complexity T(n)? You may assume that the input n is divisible by 2.

30. Consider the following algorithm: j = 1; while (j <= n/2) { i = 1; while (i <= j) { cout « j << i; i++; } j++; } (a) What is the output when n = 6, n = 8, and n = 10? (b) What is the time complexity T(n)? You may assume that the input n is divisible by 2.

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

See similar textbooks

Related questions

Q: 9. The time complexity of the following code is for (i = = 0; i<n; i=i*2 ) for(j = 0; j<n; j++) k++;…

A: The solution is given below with explanation

Q: Problem 1: A recursive function could be denoted as below: Tm) = T (÷) + 1 Prove that T(m) = O(1g n)…

A: Given: A recursive function T(n)= T(n/2) + 1 To prove: T(n)= O(log n) Note: As per Bartleby's…

Q: Assume that you are painter and you have to paint n fences with k colors. Your task is to write an…

A: Required: Assume that you are a painter and you have to paint n fences with k colors.Your task is to…

Q: 3. Write a C++ program that implements the following three algorithms and times for various values…

A: For n = 1000000 Algo A - Aglo B - (n = 10000) otherwise took too long Algo C -

Q: Step 1: Start Step 2: Declare variables n, i, flag. Step 3: Initialize variables flag • 1 i + 2 Step…

A: Flowchart

Q: int f(int n) { if (n <= 0) return 1; return f(n / 2);

A: Time complexity of the program :- O ( log n) or big-oh(log n)

Q: big o notation def f(n): for i in range(n): x = 0 while x < n: print(x + n) x = x + 1

A: for loop runs n from i = 0 till i reaches n. It runs n times. Inside for loop we have while loop…

Q: Question 40 Given the ff. code snippet, determine the time complexity: int f3(int n) { int sum = for…

A: Hello student Hope you are learning well.

Q: Consider the following recursive function GUESS(n, m) written in pseudocode. Hand trace the code to…

A: I have converted the above pseudocode into c++ code. I have provided C++ CODE along with CODE…

Q: Exercise 3: Consider the algorithm below: 1. in; 2. while (iz 1){ 3. x=x+1 4. i=i/2} Trace the…

A: The concept of time complexity in computer science quantifies the duration a code or algorithm…

Q: Use summations to determine the exact growth rate of the following algorithm. Assume all variables…

A: - The question is to determine the exact growth rate of the provided code snippet. - The provided…

Q: Which Big-O set will this algorithm belong to? In other words, determine the complexity of this…

A: Before explaining this algorithm I want to explain the time complexity and big o notation. Time…

Q: Find the complexity of the program.

A: Since there are nested loop we compute the complexity as follows: Starting with the outer loop, it…

Q: Calculate Big O for the following algorithm. Assume all variables are declared, have values, and the…

A: Consider the given algorithm, where all variables are declared properly. Sum=0; //Line 1…

Q: Find the running time complexity of algorithms given below. a. for (i=0;ii;j-) for(k=0;k<j;k++)…

A: for(i=0; i<n; i++) // this loop runs for n times. i.e Executes O(n) times…

Q: Determine Big O for the following code fragments in the average case. Assume that all variables are…

A: The performance or complexity of an algorithm is measured using Big O notation. It describes as the…

Q: ΡΥTHOΝ Determine a function T(n) that relates input size n to number of runtime steps and the Big-O…

A: Please refer below for your reference: Now your function is: def f1(n): print(1)…

Q: Suppose you are responsible for organizing and determining the results of an election. An election…

A: A divide and conquer algorithm for this problem. The problem of finding a winner in an election with…

Q: Find the complexity of the following blocks of code or algorithm's description. [Note: your answer…

A: Solution: (1) Explanation: =>Outer for loop will run n times from i = 1 to i = n incrementing the…

Q: onsider the following non-recursive algorithm: Algorithm Euclid2(m, n) //Input: Integers m and n…

A: The Euclid2(m, n) algorithm: m >= n While n != 0 do r <- m mod n m <- n n <-…

Q: What is the run-time (T(n)) and complexity of the following code segment? int y = 0; for ( int a=…

A: The time complexity of the given code snippet along with the explanation is given below.

Q: Analyze the running time for the following code segment and provide the big-O notation (assume that…

A: First analayze how both loop are working

Q: Find the complexity of the program below.

A: Complexity of a program: the Complexity of a program is the time and space required to execute a…

Q: will give thumbs up Python Big-O Coding Exercise Find f(n), T(n) and the Big-O Total…

A: In this question, we are asked to tell the complexity of the given code in Big-O Given:

Q: nput: S ( a set of integers), m ( an integer) output: All finite subsets of S that sum to m 1. List…

A: I attached your answer below.

Q: Determine the function for the number of steps taken by the algorithm. (FOR EACH FUNCTION) Which…

A: INTRODUCTION: The function for the number of steps that are to be taken by the algorithms includes…

Q: Select the running time of the following recursive function f(n): int f(int n) { if (n == 0) }…

A: 1) Time complexity is a theoretical measure that characterizes the efficiency of an algorithm in…

Q: I need a help on this. Thank you

A: The provided algorithm performs integer multiplication using a technique related to Russian Peasant…

Q: 5. Convert the following recursive functions into iterative functions. def max(k, n): if k == []:…

A: Here we have given 2 functions, max() and sum_odd(). The function max() returns the largest value…

Q: hat is the time complexity and Big O notation for each of the following code segments?…

A: for(i=0;i<n;i++){Statement;} f(n) =O(n) =

Q: Determine the function for the number of steps taken by the algorithm. (FOR EACH FUNCTION) Which…

A: INTRODUCTION: The function that represents the number of steps that are going to be taken by the…

Q: Q3. Find the best, average and worst case run time complexity of the following program: k=1; while(k…

A: Here in this question we have given a code segment .and we have asked to find time complexity in…

Q: Algorithm Euclid2(m, n) //Input: Integers m and n where m >=n //Output: Greatest Common Divisor of m…

A: a. The given algorithm computes the greatest common divisor of m and n. b Input size of this…

Q: ΡYTHOΝ Determine a function T(n) that relates input size n to number of runtime steps and the Big-O…

A: The time complexity of the program mainly depends on the number of loops and how many times each…

Q: What is the time complexity T(n) and the Big-Oh notation of the following programs in terms of n? If…

A: GIVEN: What is the time complexity T(n) and the Big-Oh notation of the following programs in terms…

Q: Let, the time complexity of each of the following code snippets be T(n). Find out a tight bound for…

A: Introduction: Let, the time complexity of each of the following code snippets be T(n). Find out a…

Q: void Fonksiyon (matris A, matris B, matris C) int i,j; for ( i=0 ; for ( j=0 ; j<m;j ++) C[ i ][j] =…

A: Please give positive ratings for my efforts. Thanks. ANSWER Here, the time equivalent of the…

Q: Find the Cyclomatic Complexity of the following code segment: int average (int[ ] value, int min,…

A: The cyclomatic complexity of a code section is the quantitative measure of the number of linearly…

Q: ΡΥTHON Determine a function T(n) that relates input size n to number of runtime steps and the Big-O…

A: Solution: Given,

Question

30. Consider the following algorithm:
j = 1;
while (j <= n/2) {
i = 1;
w hile (i <= j) {
cout <« j <<
i++;
}
j++;
}
(a) What is the output when n = 6, n = 8, and n = 10?
(b) What is the time complexity T(n)? You may assume that the input n is
divisible by 2.

Expert Solution

Step 1

According to the information given:-

We have to find the output of following question.

Trending now

This is a popular solution!

Step by step

Solved in 3 steps with 3 images

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.

Similar questions

1. a) What will be the Big-O complexity of the following code snippets? for (i=1, j=1; i=n; i=i*2) (i) printf ("It is not complex.\n"): j++; for (k=1; k<=n;k++) printf ("Complexity");
Q. Time Complexity of the following CPP code will be order of O()? int a = 0; for (i = 0; i < N; i++) { for (j = N; j > i; j--) { a = a + i + j; } }
19 The complexity of the following code is int i, j,k = 0; (i = n/ 2; i <= n; i++) { for (j k = k + n / 2; %3D for at of = 2; j <= n; j = j * 2) { uestion Select one: a. O(nlgn) b. O(n) O c. (n'ign) d. O(n)
What is the time complexity and Big O notation for each of the following code segments? P = 0;for(i=0;i<n;i=i+2){P = P + 1;} f(n) =O(n) =
Find the space complexity of the following code fib(int n) { if (n <= 1) return n; return fib(n-1) + fib(n-2); }
What is the time complexity of the following code segment in big O notation? for (int i=0; i<n; i++) { for (int k=0; k<n; k++) { if (k < 5) cout << 5*i*k ; else cout <<i*k; } cout << endl; } Question 17 options: O(n3) O(n2) O(nlogn) O(n)
What are the complexities of the following code segments in terms of n? Give an upper bound. a) int i=1;while (i<= n) { int j = i; while (j > 0) j = j/2;i++; } b) int i,j s=0; for (i=0; i<n; i++) { i--; s++; if (s == n) { i++; s = 0; } } c) while (n > 0) { for (int i=0; i<n; i++) sum++; n = n/2; }
Evaluate the performance per line
Can someone explain how the output of this recursive function is 18? Recursion is confusing to me. def R(n): if n>=5: return 10 return R(n+1) + 2 print(R(1))
Can someone explain how this recursive function output is 12? Recursion is hard for me def R(n): if n>=5: return 2 return R(n+1) + 2 print(R(0))