In this programming, you learn more about efficiency of algorithms based upon run time. Hence you need to use time() or clock() function to measure the execution of sorting algorithms and bubble binery-search. You may use the program we have been working in class since last week. Here you are to use the to create an array, Size of the array ● ● ubblei bble, bubble Use srand() to generate a random number each time; o Range of the random numbers should be 0... 10000. The expected outcome looks like the following: Binary sort takes xxx seconds. Selection sort takes xxx milliseconds. bubble sat Implement the binary search for the following numbers; there would be no match depending on the generated Num[8942] Find these numbers and print the number of If-comparisons for 71, 9997, 5000, 2, 3015; Insert time-measurement statements to print it in seconds or milliseconds. o We will be working on it in class using clock (); Binary search 71 takes 8 comparisons -found Binary search 9997 takes 13 (log28192 = log2 2¹3) comparisons - not found

In this programming, you learn more about efficiency of algorithms based upon run time. Hence you need to use time() or clock() function to measure the execution of sorting algorithms and bubble binery-search. You may use the program we have been working in class since last week. Here you are to use the to create an array, Size of the array ● ● ubblei bble, bubble Use srand() to generate a random number each time; o Range of the random numbers should be 0... 10000. The expected outcome looks like the following: Binary sort takes xxx seconds. Selection sort takes xxx milliseconds. bubble sat Implement the binary search for the following numbers; there would be no match depending on the generated Num[8942] Find these numbers and print the number of If-comparisons for 71, 9997, 5000, 2, 3015; Insert time-measurement statements to print it in seconds or milliseconds. o We will be working on it in class using clock (); Binary search 71 takes 8 comparisons -found Binary search 9997 takes 13 (log28192 = log2 2¹3) comparisons - not found

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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You have been given an array A of size N and an integer K. This array consists of N integers ranging from 1 to 10^7. Each element in this array is said to have a Special Weight. The special weight of an element a[i] is a[i]%K. You now need to sort this array in Non-Increasing order of the weight of each element, i.e the element with the highest weight should appear first, then the element with the second highest weight and so on. In case two elements have the same weight, the one with the lower value should appear in the output first. Input Format: The first line consists of two space separated integers N and K. The next line consists of N space separated integers denoting the elements of array A. Output Format: Print N space separated integers denoting the elements of the array in the order in which they are required. Constraints: 1≤N≤10^5 1≤A[i]≤10^7 1≤K≤10^7 Note: You need to print the value of each element and not their weight. SAMPLE INPUT 5 21 2 3 4 5 SAMPLE OUTPUT 1 3 5 2 4…
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can you solve this please ? Given an array of unsorted integers, you are requested to investigate whether there exist a pair of numbers in this array that has a sum equal to a given key or not. For example, if the arr = [8, 7, 2, 5, 3] and the key = 12, the answer will be "Yes" as the array has a pair (7 and 5) where their sum = 12 = key, otherwise "No" is returned. To solve this problem, the following idea can be used: i. Consider every pair in the given array and check if their sum = key. ii. Sort the array first, keeping two pointers to on the minimum and maximum of the array and then move from both directions toward the center of the array while checking whether the sum = key or not. Answer the following questions: a) Transform each of the above ideas (i) & (ii) into algorithm (pseudocode) and compute their complexities b) Critic these two ideas: [Which is better? Why?] c) Design a better solution with less complexity. [note: your idea should be…
You have an array of 10,000 subject scores for a high-school exam and you want to find the scores that are ranked from 4900 to 5100 that is the 201 most middle-ranked scores. Precisely describe two alternative algorithmic ap proaches to doing this - one of which is, in terms of time complexity, more efficient than the other.
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