students wrote algorithms for thethree algorithms uithThreesame þroblemTheytestedthetwo seto of datashownbelow:asa) Casen:10run time or student =1Yun time for student a=1/1001/1000Yuntime ffor shudenE 3 :9.case 2 :n : l00for studentsruntime:10suntime foy student2 :runtimefor student 3 :what istime complexily of each algorithm? whic ch isthe worst ?thethe best ? Which is

wrote algorithms for the three algorithmy with Three students same pr They tested the two seto of data shown below: as a) Case n:10 runtime for studenti=l Yun time for student a =1/100 Yun time fr student 3 : 1/1000 b) case 2: n : 100 Yuntime for students :10 Yuntime foy student 2 Yuntime for student 3 : what is the time complexity of each algorithm? which is the best ? Which is the woost ?

wrote algorithms for the three algorithmy with Three students same pr They tested the two seto of data shown below: as a) Case n:10 runtime for studenti=l Yun time for student a =1/100 Yun time fr student 3 : 1/1000 b) case 2: n : 100 Yuntime for students :10 Yuntime foy student 2 Yuntime for student 3 : what is the time complexity of each algorithm? which is the best ? Which is the woost ?

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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The algorithm of Euclid computes the greatest common divisor (GCD) of two integer numbers a and b. The following pseudo-code is the original version of this algorithm. Algorithm Euclid(a,b)Require: a, b ≥ 0Ensure: a = GCD(a, b) while b ̸= 0 do t ← b b ← a mod b a ← tend whilereturn a What is the maximum number of iterations of the While loop the algorithm will do?
Hi, could you create an algorithm using psuedocode for this problem: Consider a problem in which you have a set of n keys and n locks. Every key corresponds to exactlyone lock, and every lock corresponds to exactly one key (this correspondence means that all items areunique, no duplicate keys or locks are present). Create an algorithm that efficiently (less than O(n2) time)pairs up every lock with its corresponding key. By fitting a lock and key together, you can see if fit iscorrect (the single match), if the lock is too small for the key, or if the lock is too large for the key. Aspart of this algorithm, you cannot compare lock A to lock B, nor key A to key B (no direct comparisonbetween members of the same set).
A computer science student designed two candidate algorithms for a problem while working on his part-time job The time complexity of these two algorithms are?1(?) = 3 ? log ? and ?2(?) = ?6/5. a) Which algorithm is better? Why?b) If we run both algorithms at the same time with an input size of 105, which algorithm produces results faster than the other one? Why?
The 15-puzzle problemThe 15-puzzle is a larger version of the 8-puzzle.Goal:15 14 13 1211 10 9 87 6 5 43 2 1Initial11 5 2 114 8 1015 4 13 69 12 3 7For this assignment, you will implement the two uninformed search algorithms thatfind solutions to the 15-puzzle problem. You are requested to implement the programsto the 15-puzzle problem using:1. Depth-first search (DFS)2. Breadth-first search (BFS)For each of the search routines, avoid returning to states that have already been visitedon the current solution path i.e., there should be no repeated states in a solution.CS580 only: Your programs should also be able to accept arbitrary initial states andfind solutions for these states. Please give proper explanation and typed answer only.
Lab 0(L): I Can, Therefore I MustJUnit: P2J12Test.javaA jovial old grandpa mathematician straight out of central casting often appearing in Numberphilevideos, Neil Sloane is behind the Online Encyclopedia of Integer Sequences, a wonderful tool forcombinatorial explorations. This lab has you implement two methods to generate elements of twointeresting integer sequences whose chaotic behaviour emerges from iteration of a deceptivelysimple rule. Both sequences are filled in ascending order in a greedy fashion, so that each elementis always the smallest number that avoids creating a conflict with the previously generatedelements in the sequence.Note that being defined by mathematicians, these sequences start from the position one instead ofthe position zero, the way how sequences work for us budding computer scientists who have toactually get our hands dirty and therefore prefer zero-based indexing. When asked to produce thefirst n elements of the sequence, these methods should create an…
The algorithm of Euclid computes the greatest common divisor (GCD) of two integer numbers a and b. The following pseudo-code is the original version of this algorithm. Algorithm Euclid(a,b)Require: a, b ≥ 0Ensure: a = GCD(a, b) while b ̸= 0 do t ← b b ← a mod b a ← tend whilereturn a We want to estimate its worst case running time using the big-Oh notation. Answer the following questions: a. Let x be a integer stored on n bits. How many bits will you need to store x/2? b. We note that if a ≥ b, then a mod b < a/2. Assume the values of the input integers a and b are encoded on n bits. How many bits will be used to store the values of a and b at the next iteration of the While loop? c. Deduce from this observation, the maximal number iterations of the While loop the algorithm will do.
Create an algorithm that demonstrates the Fibonacci search procedure. The number of data elements n is chosen in such a way that: I Fk+1 > (n+1); and ii) Fk + m = (n +1) for some m 0, where Fk+1 and Fk are two consecutive Fibonacci numbers.
Java: Write a program that prompts the user to enter a string and display the maximum consecutive increasingly order substring and the maximum increasingly ordered subsequence of characters. The signatures of the methods are as follows: public static String maxSortedSubstring(String s) public static String maxSortedSubSeq (String s) Analyze the time complexity of both methods in comments Sample Run： Enter a string: WelcomeMaximum consecutive substring is WelMaximum increasingly ordered subsequence of characters is Welo Enter a string: ProgrammingMaximum consecutive substring is PrMaximum increasingly ordered subsequence of characters is amn
What is the Big-O Time Complexity Analysis of BubbleSort? LC Process Step 1: Please use Loop Analysis method to analyze the functionvoid bubbleSort(int arr[])Please explain your answer. class BubbleSort { void bubbleSort(int arr[]) { int n = arr.length; for (int i = 0; i < n-1; i++) for (int j = 0; j < n-i-1; j++) if (arr[j] > arr[j+1]) { // swap arr[j+1] and arr[i] int temp = arr[j]; arr[j] = arr[j+1]; arr[j+1] = temp; } } /* Prints the array */ void printArray(int arr[]) { int n = arr.length; for (int i=0; i<n; ++i) System.out.print(arr[i] + " "); System.out.println(); } // Driver method to test above public static void main(String args[]) { BubbleSort ob = new BubbleSort(); int arr[] = {64, 34, 25, 12, 22, 11, 90}; ob.bubbleSort(arr); System.out.println("Sorted array"); ob.printArray(arr); } }
The algorithm of Euclid computes the greatest common divisor (GCD) of two integer numbers a and b. The following pseudo-code is the original version of this algorithm. Algorithm 1 Euclid1(a,b)Require: a, b > 0Ensure: a = GCD(a, b) while a ̸= b do if a > b then a ← a − b else b ← b − a end if end whilereturn a We want to prove the correctness of this algorithm using the loop invariant technique. a. In a first attempt to prove the correctness of this algorithm, we propose the following loop invariant property: “GCD(a, b) is a factor of a and b”. Explain why this property willnot help you as is. b. Use your previous observation to propose another loop invariant property that willhelp you to prove the correctness of the version of Euclid’s algorithm presented above. c. Show that your loop invariant property is true before executing the While loop forthe first time (i.e., initialization property)
Question mah Which of the following statement(s) are true about linear search in programming? The middle element is looked to check if it is greater than or less than the value to be searched Time taken to search elements keep increasing as the number of elements are increased It cuts down your search as half as soon as you find middle of a sorted list The worst case complexity is O(n), sometimes known as O(n) search It scans one item at a time, without jumping to any item Full explainthe this question very fast solution sent me step by step Don't ignore any part all part work u Text typing work only not allow paper work.
Question1 (b)Consider the followingalgorithmwhere Small is an array of ninteger values: AlgorithmQ1 //Input: An array Smallcontaining ninteger values b = ∞ for h = 1 to n-1 for k = h + 1 to n if (Small[h] –Small[k]) < b b = Small[h] –Small[k] return b i.Explain what does this algorithm compute. ii.Findthe asymptotic bound/complexity ofthis algorithm. iii.Producean improved algorithm to Question1 (b) above with a better asymptotic complexity/running time. iv.Findthe asymptotic bound/complexity of the improvedalgorithmin Question 1(b)iii. above.