4) a. O(1) in best case the item we are searching for is present at the first position of the array. in that case it only takes one single operation. 5) a. O(n) in worst case we might need to go through all positions of the array to find the item we are searching for. so, in worst case it takes n operations. 6) a. O(n) when the item we are searching for does not contain inside the array. then we need to go through all n elements of array to verify that. so, it takes n operations.
4. In an array-based implementation of the ADT list, what is the best case performance of...
Please help me on all the questions !!!!!!!! Really need help! Will give a thumb up for helping. True/False (13) Chapter 14 - A List Implementation that Links Data Adding a node to an empty chain is the same as adding a node to the beginning of a chain. Adding a node at the end of a chain of n nodes is the same as adding a node at position n. You need a temporary variable to reference nodes as...
Describe the structure and pseudo-code for an array-based implementation of the vector ADT that achieves O(1) time for insertions and removals at rank 0, as well as insertions and removals at the end of the vector. Your implementation should also provide for a constant-time elemAtRank method.
Name: Each question is worth 1 point. 20 1. In a linked-chain implementation of a Stack ADT, the performance of pushing an entry onto the stack is a. 0(2) b. О(n) С. 0(r) Answer: What is the entry returned by the peek method after the following stack operations. push(A), push(R), pop0. push(D), popO, push(L), pop0, pushJ), push(S), pop). pop 2. b.S c. L d. D Answer: n an efficient array-based chain implementation of a Stack ADT, the entry peek returns...
Complete an Array-Based implementation of the ADT List including a main method and show that the ADT List works. Draw a class diagram of the ADT List __________________________________________ public interface IntegerListInterface{ public boolean isEmpty(); //Determines whether a list is empty. //Precondition: None. //Postcondition: Returns true if the list is empty, //otherwise returns false. //Throws: None. public int size(); // Determines the length of a list. // Precondition: None. // Postcondition: Returns the number of items in this IntegerList. //Throws: None....
What is the Big Oh of the list method remove() in best case and worst cases? The answers to these two questions, found on page 396 are O(1) and O(n). Why is the best case O(1) and worst case O(n) ?
Chapter 4 describes the ADT Sorted List using an array implementation with a maximum of 25 items. The pseudocode for the ADT Sorted List Operations are provided on page 210. Use this information to create an ADT for handling a collection of Person objects, where each object will contain a Social Insurance Number (validate this), a first name, a last name, a gender and a data of birth. This implementation should prevent duplicate entries – that is, the Social Insurance...
Write a Java program to work with a generic list ADT using a fixed size array, not ArrayList. Create the interface ListInterface with the following methods a) add(newEntry): Adds a new entry to the end of the list. b) add(newPosition, newEntry): Adds a new entry to the list at a given position. c) remove(givenPosition): Removes the entry at a given position from the list. d) clear( ): Removes all entries from the list . e) replace(givenPosition, newEntry): Replaces the entry...
Multiple Choice Multiple Choice Section 3.1 The Bag ADT For the bag class in Chapter 3 (using a fixed array and a typedef statement) what steps were necessary for changing from a bag of integers to a bag of double values? A. Change the array declaration from int data[CAPACITY] to double data[CAPACITY] and recompile. B. Change the int to double in the typedef statement and recompile. C. Round each double value to an integer before putting it in the bag....
When using an array to implement a list ADT, what is the time complexity (Big-Oh) for finding an element in the list with N elements? (C++)
In the worst case, the very best that a comparison based sorting algorithm can do when sorting n records is Q (n^2) Q(log (n!)) (log n) O Q (n)