Question 3What will the Linear search algorithm return when finding 5 in the list [1, 4, 5, 6, 2,3]?def Linear Search(a, x):for i in range(0, len(a)):if a[i] == x:return -1return iQuestion 4Give the return value of the Binary search algorithm when a=[5,11,13,19, 20] and t = 12.Give the return value of the Binary search algorithm when a=[5,11,13,19, 20] and t = 19.

Sequential search, sometimes referred to as linear search, would be characterized as a…

Question 3 What will the Linear search algorithm return when finding 5 in the list [1, 4, 5, 6, 2, 3]? def Linear Search (a, x): for i in range(0, len(a)): if a[i]=x: return i return -1 Question 4 Give the return value of the Binary search algorithm when a=[5,11,13,19, 20] and t = 12. Give the return value of the Binary search algorithm when a=[5,11,13,19, 20] and t = 19.

Question 3 What will the Linear search algorithm return when finding 5 in the list [1, 4, 5, 6, 2, 3]? def Linear Search (a, x): for i in range(0, len(a)): if a[i]=x: return i return -1 Question 4 Give the return value of the Binary search algorithm when a=[5,11,13,19, 20] and t = 12. Give the return value of the Binary search algorithm when a=[5,11,13,19, 20] and t = 19.

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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Algorithm Linear Search Input: L = a1, a2, ... , an list of distinct integers; x integer Output: p integer i = 1; found = F; p = 0; while i ≤ n and found = F if ai = x then found = T and p = i else i = i+1; return p; When performing Algorithm Linear Search with input L = 1,3,5,7,9,11,13 and x = 7, x is compared to an element ai of the list L exactly 3 times. Group of answer choices True False
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.
Design an experiment to compare different algorithms for the selection problem, i.e. findingk’th smallest element in an unsorted list of n numbers. There are following candidatemethods: (i) Sort all elements by Insertion-sort and return the ?’th element in the list,(ii) Sort all elements by Merge-sort and return the ?’th element in the list,
Programming homework1) Apply the binary search and Fibonacci search algorithms to an ordered list (Algorithms 16.5 and 16.6). Search for the components in the list "3, 18, 1, 25" for the list L = "2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20."Check how many comparisons were made during the searches. 2) Use an online dictionary (with a constrained list of words) that use interpolation search to browse the dictionary in response to a word. Streamline the programme so that it replaces any misspelt words with the dictionary's closest equivalent or right term.
Consider an unordered list of data pieces L[0:5] = 23, 14, 98, 45, 67, 53. Let's look for the key K = 53. Obviously, the search proceeds along the list, comparing key K with each element until it finds it as the final member in the list. In the instance of looking for the key K = 110, the search proceeds but falls off the list, declaring it failed. Create Algorithm Procedures for both sorted and unordered linear searches, as well as their times.
Implement binary search and Fibonacci search algorithms on an ordered list. For the list L = {2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,15, 16, 17, 18, 19, 20} undertake search for the elements in the list {3, 18, 1, 25}.Compare the number of key comparisons made during the searches.
On an ordered list, use the binary search and Fibonacci search algorithms. Search for the components in the list 3, 18, 1, 25 for the list L = 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20.The number of critical comparisons performed during the searches should be compared.
3. Show how the binary search algorithm searches for 25 in the sorted listbelow: 4 6 17 25 32 39 41 43 45 49 let i = be the first number j = be the last number m = be the middle number I need to see how this is done and how the numbers narrow down to 25. Please break this down in described steps. I'm really confused.
illustrates the search procedure on a skip list S for a key K. The algorithm employs functions next(p) and below(p) to undertake the search. Write code with explaination otherwise you will get downvote
Let's assume that there are n keys that have been inserted in this fashion, and let's also assume that the keys (after sorting) are not entirely consecutive (i.e., each key is not 1 greater than the key preceding it). Answer the following questions about the resulting binary search tree. What is an asymptotic notation that best describes the height of the resulting binary search tree? In a sentence or two, explain why. What is an asymptotic notation that best describes the time required to insert another key into that binary search tree after it's been built, assuming the key was chosen completely at random and not subject to the arrangement described above? In a sentence or two, explain why.
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']…
We talked about the trade-off between using sequential search on an unsorted list as opposed to sorting the list and then using binary search. If the list size is n = 9,000, about how many worst-case searches must be done before the second alternative is better in terms of number of comparisons? (Hint: Let p represent the number of searches done.) Use selection search to sort the binary search list.