Suppose instead of quadratic probing, we use cubic probing; here the ith probe is at hash (x) + i3. Does cubic probing improve on quadratic probing? Hint: to get the result, write a simple program with both quadratic and cubic probing and insert the same data to both table and count the number of collisions. Test your program with large tables such as 9001 and A=.5.

Suppose instead of quadratic probing, we use cubic probing; here the ith probe is at hash (x) + i3. Does cubic probing improve on quadratic probing? Hint: to get the result, write a simple program with both quadratic and cubic probing and insert the same data to both table and count the number of collisions. Test your program with large tables such as 9001 and A=.5.

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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(B2). Implement a randomized Skip-List with operations Insert(), Delete() and Search(). Your program should read from the input file just like in (BI). Print out the skip-list using the format given below 16 16 71 91 2 16 71 89 91 2 10 15 16 31 71 86 89 91 96 27-10-15- 86 89 a 96
Can you help me write the code for this one please? Thank you
Now implement the mergesort function. In the base case (len(lst)<2), return the list itself. Otherwise, split the list into a left half and a right half recursively and use the above merge() function to combine sub-results. Note: Use integer division // when computing the length for each subproblem. from random import randint def mergesort(lst): """Implementation of the MergeSort algorithm. Precondition: lst is a list containing elements that can be compared. :param lst - a list of comparable elements :resut - a list containing all elements in lst in ascending order.""" pass # your code goes here ## wrapper to return a shuffled list, shuffle() updates the input list def shuffled(lst): result = [elem for elem in lst] ## copy lst shuffle(result) return result tests = [ [ [shuffled([n for n in range(20)])], [n for n in range(20)]], [ [[n for n in range(19,-1,1)]], sorted([n for n in range(19,-1,1)])], [ [[]], []],…
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Suppose that a list contains the values 20, 44, 48, 55, 62, 66, 74, 88, 93, 99 at index positions 0 through 9. Trace the values of the variables left, right, and midpoint in a binary search of this list for the target value 90. Repeat for the target value 44. [only analytical work is required, no code is necessary; meaning just work the problem out and explain methods. thx :) ]
Please solve with python language... Please avoid chatgpt. Please
A. We have decided to change the type of hashing we use to a newer version that is collision resistant. What happens when a hash collision occurs? You can figure out the plain text from the hash. When two different plaintexts produce the same hash. The same plain text produces two different hashes using the same hash function. A variable-length text produces a fixed-length hash. B.“Alice” and “Bob” are talking about hashing and they use the abbreviation MAC. What are they talking about? Message Authentication Code. Media Access Control. Mandatory Access Control. Message Access Code. C.Which one of the following is not one of the basic requirements for a cryptographic hash function? The function must be collision free. The function must work on fixed-length input. The function must be relatively easy to compute for any input. The function must be one way. D.Bob wants to produce a message digest of a 2,048-byte message he plans to send to Alice. If he uses the SHA-1 hashing…
WRITE THE MAIN.CPP FOR THIS PROGRAM a. Write a version of the sequential search algorithm that can be used to search a sorted list. (1, 2) b. Consider the following list: 2, 20, 38, 41, 49, 56, 62, 70, 88, 95, 100, 135, 145 Using a sequential search on ordered lists, that you designed in (a), how many comparisons are required to determine whether the following items are in the list? (Recall that comparisons mean item comparisons, not index comparisons.) (1, 2) 2 57 88 70 135 Write a program to test the function you designed. Note: Have the function,seqOrdSearch, return -1 if the item is not found in the list. (return the index of the item if found).
In C++, Implement a Priority Queue(PQ) using an UNSORTED LIST. Use an array size of 20 elements. Use a circular array: Next index after last index is 0. Add the new node to next available index in the array. When you add an element, add 1 to index (hit max index, go to index 0). Test if array in full before you add. When you remove an element, from the list, move the following elements to the left to fill in the blank, etc ( Like prior program done with LISTS ) Create a class called Node: Have a Name and Priority. Data set - 1 is the highest priority, 10 is lowest priority. Enqueue and dequeue in the following order. Function Name, Priority Enqueue Joe, 3 Enqueue Fred, 1 Enqueue Tuyet, 9 Enqueue Jose, 6 Dequeue Enqueue Jing, 2 Enqueue Xi, 5 Enqueue Moe, 3 Dequeue Enqueue Miko, 7 Enqueue Vlady, 8 Enqueue Frank, 9 Enqueue Anny, 3 Dequeue Enqueue Xi, 2 Enqueue Wali, 2 Enqueue Laschec, 6 Enqueue Xerrax, 8 Dequeue Dequeue Dequeue Dequeue Dequeue Dequeue Dequeue Dequeue Dequeue Dequeue…
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I know that 1,000,000 dollars is the answer. Please explain process of how to get that answer.
The Bubble Sort for a list of numbers x0, x1, . . . , xn works as follows: (i) if x0 > x1, switch their values; (ii) now do the same for x1 and x2, then for x2 and x3, all the way down the list to xn−1 and xn; (iii) if at least one switch was made go back to (i), otherwise you’re done. When you’re done you will have x0 x1 x2 · · · xn. Write a program BubbleSort.py to ask the user for the number n. Generate n + 1 random numbers x0, x1, . . . , xn on the interval [0, 1] using random.random(). Bubble sort the numbers and present them in increasing order. I’m sure you can find code to do this online but WRITE YOUR OWN CODE