activity would be the theoretical and empirical analysis. For the theoretical analysis, the deliverable must be: Pseudocode Analysis Time and Space Complexities For the empirical analysis, the deliverable must be the filled-out table and your analysis. Input Size (N) 1,000 10,000 100,000 Provide your analysis. Elapsed Time for Binary Search (Worst-Case) Elapsed Time for Linear Search (Worst-Case)

activity would be the theoretical and empirical analysis. For the theoretical analysis, the deliverable must be: Pseudocode Analysis Time and Space Complexities For the empirical analysis, the deliverable must be the filled-out table and your analysis. Input Size (N) 1,000 10,000 100,000 Provide your analysis. Elapsed Time for Binary Search (Worst-Case) Elapsed Time for Linear Search (Worst-Case)

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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ISBNThis problem is slightly more difficult than the above problem. This one requires a data type that stores 10 digits. BackgroundPublishers and bookstores use a number system called the International Standard Book Number (ISBN) system to identify books. At the start of publication, each book is assigned a unique ISBN. An ISBN, once assigned, can never be re-used. Click here for detailed information on this numbering system.An ISBN consists of exactly 10 digits. The rightmost digit is the check digit. The check digit is validated modulo 11.• multiply each digit from the first to the ninth by a weight from 10 to 2 respectively (the first digit by 10, the second by 9,.., the ninth by 2).• the sum of the products plus the check digit should be divisible without remainder by 11.• if there is a remainder, the whole number is not a valid ISBN SpecificationsDesign a program that validates an ISBN. Your program keeps accepting a whole number and determining if that whole number is a valid…
Tour.java Create a Tour data type that represents the sequence of points visited in a TSP tour. Represent the tour as a circular linked list of nodes, one for each point in the tour. Each Node contains two references: one to the associated Point and the other to the next Node in the tour. Each constructor must take constant time. All instance methods must take time linear (or better) in the number of points currently in the tour. To represent a node, within Tour.java, define a nested class Node: private class Node { private Point p; private Node next; } Your Tour data type must implement the following API. You must not add public methods to the API; however, you may add private instance variables or methods (which are only accessible in the class in which they are declared). public class Tour // Creates an empty tour. public Tour() // Creates the 4-point tour a→b→c→d→a (for debugging). public Tour(Point a, Point b, Point c, Point d) // Returns the number of points in this tour. public…
Computer Science Done in Perl. Someone gave me a wrong/incomplete answer. Write a function, hashsum, which takes a hash reference as its first argument and an array reference as its second argument. The function should take the elements of the array and use them as keys in the hash. The values in the hash corresponding to the keys in the array should be totaled, and the sum should be returned to the user. If a key passed in the array does not exist in the hash, ignore it. Write a sample program to call this function.
Cs10 Quiz 1 6 / 7 100% + 26. Given the definition of the classes Node and List above but with this new List public member function named mystery added, draw the memory diagram after all of the shown code in the main function executes (but before the main function ends). Be careful, there may be dangling pointers and/or memory leaks after calling the mystery function. Be sure to show these in your diagram. Circle ALL memory leaks. You may put ?? in a dangling pointer variable or just leave the arrow dangling in your drawing. Be sure to draw pointers in the same manner as I showed in lecture (arrow starts inside variable and ends at memory location it points to). void List::mystery (int val) { if (head == nullptr) { head = new Node (val); tail = head; } else if (head->next == nullptr) { head->next = new Node (val); } else ( Node *nl = new Node (val); int main () { List list; list.mystery (2); list.mystery (3) ; list.mystery (5); // Draw what memory // looks like now // (Note: the main…
True or False: Can indexing be viewed abstractly as a process to determine if an element with a particular value is a member of a particular set? Is the more common view of indexing an attempt to find the record within a collection of records that has a particular key value, or those records in a collection whose key values meet some criterion such as falling within a range of values? Thus, can we say indexing in data structure refers to the process of finding location of an element in a list? Give an example.
Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way. There are various data structure techniques that can be used for storing data systematically by applying good algorithms. Design an algorithm that takes two arrays, and returns true if the arrays are disjoint, i.e. have no elements in common. Use standard data structures and algorithm in your solution without having to explain how they are implemented. Write down your algorithm as pseudocode. You don't need to write Java code but be precise so that a competent programmer should be able to take your description and easily implement it. Your algorithm should take Qn log m) time, where n is the size of the larger array and m is the size of the smaller array. Since n2 m, this is the same as Q(n log m + m log m). i. ii. Describe why it is a bad idea to implement a linked list version a queue which…
Estimated Completion Time: 2 minutes You are now working for Prof. Midas on a research project. You are given this piece of code to review which is intended to be a better and faster implementation of a function that checks whether a given key is in a dictionary (i.e., key lookup). You have to present your findings to Prof. Midas. Select all the findings which you will NOT present (i.e., select all answers which are FALSE). def key_in_dict(d, k): for item in d: if k == item: return True return False This code would always be slower than the builtin key lookup Python provides. O A key lookup in a dictionary in Python is generally faster than determining whether a value is in a list. O This code is way faster and will be included in the next version of Python (version 4.1). The code is incorrect from a functional perspective, the True and False should be switched. This code could be replaced with one line: return k in d O The code is correct and would always perform faster than the…
Part 1: autocomplete term. Write an immutable data type Term.java that represents an autocomplete term-a query string and an associated integer weight. You must implement the following API, which supports comparing terms by three different orders: lexicographic order by query string (the natural order); in descending order by weight (an alternate order); and lexicographic order by query string but using only the first r characters (a family of alternate orderings). The last order may seem a bit odd, but you will use it in Part 3 to find all query strings that start with a given prefix (of length r). public class Term implements Comparable { // Initializes a term with the given query string and weight. public Term (String query, long weight) // Compares the two terms in descending order by weight. public static Comparator byReverseWeight0rder () // Compares the two terms in lexicographic order, // but using only the first r characters of each query. public static Comparator…
Recamán's sequence def recaman_item(n):Compute and return the n:th term of the Recamán's sequence. See the linked definition for this sequence on Wolfram Mathworld. Note how the definition for the current element in this sequence depends on whether some particular number can be found in the previously generated prefix of the sequence. To allow your function to execute in a sure and speedy fashion even for millions of elements, you should use a set to keep track of which elements are already part of the prefix of the sequence generated so far. This way you can generate each element in constant time, instead of having to iterate through the entire previously generated list the way some "Shlemiel" might approach this problem. n Expected result 1 1 8 12 13 23 57 87 395743 258330 The previous version of this problem, simply called recaman in the very first versions of this problem collection,…
Course: Data Structurre and algorithms Language: Java Make a Program in java. Read the properly its easy but explained in theory. You have to solve ( make program ) the question by properly as you can error and ommisions will be accepted please. Kindly make it unque dont copy paste. <You have to solve this question as you can kindly dont excusses> Implement a global function“CompareNumbers”which is passed twoSlinkedListobjects as parametersnamed list1, and list2. The function will compare both the numbers corresponding to the lists and will return 0 if both the numbers are equal, return 1 if number corresponding to list1 is greater and will return 2 if number corresponding to list2 is greater. For this task you have to choose an appropriate data structure that will help you do this task in the most efficient manner with regard to time and space complexity.You are allowed to reverse the linked lists for this task. intCompareNumbers(SlinkedList list1, SlinkedList list2)
When working with enumeration types, such as the arithmetic operators and the stream operators, is it possible to rapidly access operators that are often used, such as the arithmetic operators and the stream operators? Is it conceivable, for instance, to overload these operators in order to arrive at a result that is satisfactory? What are the arguments for and against doing so?
Description Java you will create a backend class called SortableSet. A set, in computer science, is an unordered collection of unique objects. In our SortableSet, all of the objects in the set will also be immutable at the set level. This means that even if the data class used to create objects is not immutable, once they are in the set they are. We do this by making a deep copy of any objects being added to the set or returned from the set. The objects stored in the SortableSet must implement an interface called Sortable that provides a numeric sorting key and a deep copy method. SortableSet also takes advantage of two custom exception classes: DuplicateException and InvalidKeyException. Finally, the "sortable" part of SortableSet is implemented by a getSortedList method that makes a deep copy of every object in the set, saves them to an array, and then sorts them based on each object's sorting key. The sort algorithm used is a recursive radix sort modified to work with objects.…