1.... Question 10Given a list containing 32 elements, indicate whether a linear or a binary search would require fewer comparisons in each of the following situations.a. The search term is located in the last half of the list.b.C.The search term is among the first four elements in the list.The search term is located at index [32/2] = 16.linear searchbinary search

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Question 10 Given a list containing 32 elements, indicate whether a linear or a binary search would require fewer comparisons in each of the following situations. a. b. C. The search term is located in the last half of the list. The search term is among the first four elements in the list. The search term is located at index [32/2] = 16. linear search binary search

Question 10 Given a list containing 32 elements, indicate whether a linear or a binary search would require fewer comparisons in each of the following situations. a. b. C. The search term is located in the last half of the list. The search term is among the first four elements in the list. The search term is located at index [32/2] = 16. linear search binary search

C++ Programming: From Problem Analysis to Program Design

8th Edition

ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter17: Linked Lists

Section: Chapter Questions

Problem 5SA

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3. Suppose that an element is known to be among the first four elements in a list of 32 elements. Would a linear search or a binary search locate this element more rapidly?
Consider a list of data components L[0:5] = 23, 14, 98, 45, 67, and 53. Let's look for the K = 53 key. Naturally, the search moves down the list, comparing key K with each element until it discovers it as the final element in the list. When looking for the key K = 110, the search moves forward but eventually drops off the list, making it a failed search. Write the algorithmic steps for both sorted and unordered linear searches, along with the times involved.
20. Suppose a computer program has been initialized such that the following sets have been stored for use in any algorithm: A = {1, 2, 3, ..., 45}B = {-7, -6, -5, ..., 27} Consider the following algorithm, which represents one part of the whole computer program (comments may occur after the # symbol on any line and are not used in computations): #Part 1: computes A - B and its cardinality AminusB = set()for element in A: # this line runs through every element in A if not(element in B): #A - B is the set of elements that are in A and are not in B AminusB.add(element) # Add to AminusB every element in A if the element is also not in B n = len(AminusB) #len() returns the number of elements in the arrayprint(n) What value is printed as a result of executing this algorithm?
I need a reference page for this question that was answered below. What is the difference between a singly-linked list and a doubly-linked list? In what situation would you use a singly-linked list over a doubly-linked list? In what situation would you use a doubly-linked list over a singly-linked list? If a node is in a linked list with N nodes, how many nodes will be traversed during a search for the node? Explain the best- and worst-case search scenarios. Explain why a singly-linked list defines a RemoveAfter() function, while a doubly-linked list defines a Remove() function. Could a RemoveAfter() function also be defined for a doubly-linked list? Explain why or why not. Could a Remove() function also be defined for a singly-linked list? Explain why or why not.
g. Include a delete() function in LinearProbingHashST that deletes a key-value pair by changing the value to null (while leaving the key in place) and then deleting the pair from the table in resize(). The most difficult decision you must make is when to use resize(). Note: If a future put() action associates a new value with the key, you should replace the null value. Make sure that while deciding whether to enlarge or shrink the table, your programme takes into consideration both the number of such tombstone items and the number of vacant places.
Q20. Suppose a computer program has been initialized such that the following sets have been stored for use in any algorithm: A = {1, 2, 3, ..., 45}B = {-7, -6, -5, ..., 27} Consider the following algorithm, which represents one part of the whole computer program (comments may occur after the # symbol on any line and are not used in computations): #Part 1: computes A - B and its cardinality AminusB = set()for element in A: # this line runs through every element in A if not(element in B): #A - B is the set of elements that are in A and are not in B AminusB.add(element) # Add to AminusB every element in A if the element is also not in B n = len(AminusB) #len() returns the number of elements in the arrayprint(n) What value is printed as a result of executing this algorithm Answer Q10A. Consider the following algorithm: g1 = 3 g2 = 6 for k > 2: gk = (k-1)·gk-1 - gk-2 What is term g6 of the…
Question 3 Q20. Suppose a computer program has been initialized such that the following sets have been stored for use in any algorithm: A = {1, 2, 3, ..., 45}B = {-7, -6, -5, ..., 29} Consider the following algorithm, which represents one part of the whole computer program (comments may occur after the # symbol on any line and are not used in computations): #Part 1: computes A - B and its cardinality AminusB = set()for element in A: # this line runs through every element in A if not(element in B): #A - B is the set of elements that are in A and are not in B AminusB.add(element) # Add to AminusB every element in A if the element is also not in B n = len(AminusB) #len() returns the number of elements in the arrayprint(n) What value is printed as a result of executing this algorithm?
Suppose that the first, second and third steps of the operation of the best first search algorithmresults in the following situations a. What node will be expanded at the next step?b. Can we guarantee that the best solution will be found?
That's enough for you! def first_preceded_by_smaller(items, k=1): Find and return the 0irst element of the given list of items that is preceded by at least k smaller elements in the list. These required k smaller elements can be positioned anywhere before the current element, not necessarily consecutively immediately before that element. If no element satisfying this requirement exists in the list, this function should return None. Since the only operation performed for the individual items is their order comparison, and especially no arithmetic occurs at any point during execution, this function should work for lists of any types of elements, as long as those elements are pairwise comparable with each other. items k Expected result [4, 4, 5, 6] 2 5 [42, 99, 16, 55, 7, 32, 17, 18, 73] 3 18 [42, 99, 16, 55, 7, 32, 17, 18, 73] 8 None ['bob', 'carol', 'tina', 'alex', 'jack', 'emmy', 'tammy', 'sam', 'ted']…
Q2: Recall the problem of finding the median of an array of an unsorted list. How fast can one complete the median? What is the recurrence relation that the algorithm follows? (Do not state the algorithm or solve the recurrence relation)
Answer the given question with a proper explanation and step-by-step solution. #include<stdio.h>#include<stdlib.h>#include"NoteSynth.c" typedef struct BST_Node_Struct{ double key;double freq;int bar;double index;/*** TO DO:* Complete the definition of the BST_Node_Struct***/ } BST_Node; BST_Node *newBST_Node(double freq, int bar, double index){ /*** TO DO:* Complete this function to allocate and initialize a* new BST_Node. You should make sure the function sets* initial values for the data in the BST_Node that can* never occur in an actual musical note from a score!****/ return NULL;} BST_Node *BST_insert(BST_Node *root, BST_Node *new_node){/** This function inserts a new node into the BST. The* node must already have been initialized with valid* note data, and must have its unique key.** The insert function must check that no other node* exists in the BST with the same key. If a node with* the same key exists, it must print out a message* using the following format…
Assume that the values A through H are stored in a self-organizing list, initially in ascending order. Consider the three self-organizing list heuristics: count, move-to-front, and transpose. For count, assume that the record is moved ahead in the list passing over any other record that its count is now greater than. For each, show the resulting list and the total number of comparisons required resulting from the following series of accesses: D H H G H E G H G H E C E H G: For each of the three self-organizing list heuristics (count, move-to-front, and transpose), describe a series of record accesses for which it would require the greatest number of comparisons of the three.