Compulsory Task 1 Answer the following questions: Dev What is the Big-O notation of the following algorithm (assume that all variables have been declared): for (int i=1;i<= n; i++) sum = sum + 1* (i + 1); What is the Big-O notation of the following algorithm (assume that all variables have been declared): for (int i = 5; i <= 2 * n; i++) System.out.println(2 * n + i - 1); • What is the Big-O notation of the following algorithm: for (int i = 1; i <= 2 * n; i++) for (int j = 1; j <= n; j++) System.out.println(2* i + j); System.out.println(" "); • What is the Big-O notation of the following algorithm: for (int i = 1; i <= n; i++) for (int j = 1; j <= n; j++) Copyright © 2021 Hyperion Dev. All rights for (int k = 1; k <= n; k++) System.out.println(i + j + k); Each of the following expressions represents the number of inputs for certain algorithms. Write them in Big O notation (eg, n+2+ O(n)); on² + 6n + 4 5n² + 2n + 8 (n² + 1) (3n+ 5) o 5(6n + 4) O n+ 2logn - 6 o4nlogin + 3n + 8

Compulsory Task 1 Answer the following questions: Dev What is the Big-O notation of the following algorithm (assume that all variables have been declared): for (int i=1;i<= n; i++) sum = sum + 1* (i + 1); What is the Big-O notation of the following algorithm (assume that all variables have been declared): for (int i = 5; i <= 2 * n; i++) System.out.println(2 * n + i - 1); • What is the Big-O notation of the following algorithm: for (int i = 1; i <= 2 * n; i++) for (int j = 1; j <= n; j++) System.out.println(2* i + j); System.out.println(" "); • What is the Big-O notation of the following algorithm: for (int i = 1; i <= n; i++) for (int j = 1; j <= n; j++) Copyright © 2021 Hyperion Dev. All rights for (int k = 1; k <= n; k++) System.out.println(i + j + k); Each of the following expressions represents the number of inputs for certain algorithms. Write them in Big O notation (eg, n+2+ O(n)); on² + 6n + 4 5n² + 2n + 8 (n² + 1) (3n+ 5) o 5(6n + 4) O n+ 2logn - 6 o4nlogin + 3n + 8

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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Divide and Conquer is one of the important design method for Algorithm. What is the major feature to design an algorithm applying the Divide and Conquer idea ? 單選: a. Recursive in Assign, Calculate, Output. O b. Recursive in Assign, Divide, Conquer. O c. Recursive in Divide, Calculate, Combine. d. Recursive in Divide, Conquer, Combine. e. Recursive in Calculate, Conquer, Combine. We call it as 3C.
n-1 Geometric (n) = i=1 i=1 1 1 * n-1 П %3D Harmonic (n) = i=1 n Let's look at examples. If we use n = 4, the geometric progression would be 1 * 2 * 3 * 4 = 24, and the harmonic 1.1.1 1 progression would be 1* -= 0.04166. 2 3 4 24 Task #1 Tracing Recursive Methods 1. Copy the file Recursion.java (see Code Listing 16.1) from the Student Files or as directed by your instructor. 2. Run the program to confirm that the generated answer is correct. Modify the factorial method in the following ways: a. Add these lines above the first if statement: int temp; System.out.println ("Method call -- " + "calculating " "Factorial of: " + n); + Copyright © 2019 Pearson Education, Inc., Hoboken NJ b. Remove this line in the recursive section at the end of the method: return (factorial (n - 1) * n); c. Add these lines in the recursive section: temp = factorial (n - 1); System.out.println ("Factorial of: " (n - 1) + " is " temp); return (temp * n); 3. Rerun the program and note how the recursive calls…
Determine which characteristics of an algorithm the following procedures have and which they lack. procedure double(n: positive integer) while n > 0 n:= 2n
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What input or parameter value impacts the number of times the recursive function will be called. • Give three specific examples of input/parameter values and, for each, state the number of times the recursive function will be called. • Devise a formula with respect to n that describes the number of times the recursive function will be called, where n is either the value passed or some property of the value passed (e.g. n might be the length of a string of the size of an array).
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Hi, this picture is the homework I have and it was on this site so I paid to see the answers, but it only answered question a. Can you show me how to solve the rest of the tasks?
er 3) The algorithm solves the problem of 4) size n by dividing it into 64 sub- problems of size n/8, recursively solving each sub-problem, and then combining the solutions in O(n²) time 5) The algorithm solves the problem by breaking it into 8 sub-problems of 1/4 the scale, recursively solving each sub-maze, and then combining the solutions in linear time Th of sub the Q(r Rago 4 of E
Question 5 Dk .Full explain this question and text typing work only We should answer our question within 2 hours takes more time then we will reduce Rating Dont ignore this line