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- 1. Suppose R (A B C D E F G H I J) and set of FDs C, F: { AB DE, A B F, F Exercise: GH, D IJ } The above table is normalized up to 3NF or not? If not, decompose itA student who satisfactorily completes the assignment should be able to: Learning Objective Course Outcome No. 1. Use arrays, Pointers, Structures and Abstract data types 1 2. Use Linear and Binary Search 3. Implement hashing techniques 4. Use algorithms to perform operations such as insertion, searching, updating and deletion on various data structures 11 12 5. Implement data structures. 13 Problem: 1. There are n numbers of students in your class. Your class teacher wants to search a particular student information based on student ID. Consider the records are already arranged in ascending order. Explain the steps for the following operations using binary search. • Search for any record which is available in the list. • Search for a record which is not available in the list. 2. Use any Hashing Technique to explain the following for the above scenario. • Place all the records into the hash table. • Use any probing /chaining technique to eliminate collision.Describe each of the following sets by listing its elements:a. {x | x ∈ N and x2 − 5x + 6 = 0}b. {x | x ∈ R and x2 = 19}c. {x | x ∈ N and x2 − 2x − 8 = 0}}d. {x | x ∈ Z and x ∗ x = 4}
- Exercise # 2: Map search For the location map search example explained in the Greedy best first search and A* algorithm, change the search algorithm to follow the uniform cost algorithm (UCS). Run the new code and compare the results of UCS versus Greedy & A*, in terms of the levels required and the number of nodes expanded. IT HAS TO BE IN PYTHON LANGUAGEPlease answer in Pseudocode The next task in the assignment is to design a concrete data structure for implementing the puzzle vectors representing Pseudoku puzzles; importantly, each element of the concrete data structure can only store a number or a pointer. Therefore, you could try an implementation based on arrays or linked lists, or a hybrid of both. Task 7: Consider the following puzzle vector: Element 1 Element 2 Element 3 Element 4 2 1 3 4 3 2 1 2 4 3 Design and explain a concrete data structure that implements this puzzle vector. The data structure must only consist of elements that can store an integer or a pointer to another element or null - elements can be indexed if they are contiguous in memory as with an array. You can draw the data structure and explain how the allowed operations of vectors are implemented on this concrete data structure - additional pointers can be created to traverse lists. One approach could be to use arrays, or linked lists, or another approach…Question 6 Which of the followings is a representation for the set {x | a < x < b} [a,b) (a,b] (a,b) [a,b] Moving to another question will save this response. ch
- 10. Suppose you are given an implementation of a queue of integers. The operations that can be performed on the queue are: i. isEmpty (Q)– returns true if the queue is empty, false otherwise. ii. delete (Q) – deletes the element at the front of the queue and returns its value. iii. insert (Q, i) – inserts the integer i at the rear of the queue. Consider the following function: void QUE(queue Q) { int i ; if (!isEmpty(Q)) { i = delete(Q); QUE(Q); insert(Q, i); } } What operation is performed by the function QUE assuming the elements 1, 2, 3, 4 are in the queue ? %D Leaves the queue unchanged Empties the queue Q Reverse the order of the elements in queue Q Deletes the elements of the queue Q from the front and inserts it at the rear of the Queue Qkeeping the other elements in the same OgenConsidering the code segment below, answer the following questions: 1. Find the Cyclomatic Complexity using all three methods (7) 2. Does the Cyclomatic Complexity reflect the software design quality - briefly explain (3) Code: class BinSearch { // This is an encapsulation of a binary search function that takes an array of // ordered objects and a key and returns an object with 2 attributes namely // index - the value of the array index // found - a boolean indicating whether or not the key is in the array // An object is returned because it is not possible in Java to pass basic types by // reference to a function and so return two values // the key is -1 if the element is not foundConsider the following function for linear search that takes a list of elements sorted in increasing order and an element to search in the list. def search_inc(alist, elem): for i in range(len(alist)): if alist[i] == elem: return True if alist[i] > elem: return False return False Consider the following code, which is an alternative version of search_inc. def search_inc3(alist, elem): if alist[0] == elem: return True elif alist[0] > elem: return False else: return search_inc3(alist[1:], elem) : Which of the following statements is correct? You may assume that each function is tested with a list alist whose elements are sorted in increasing order. For simplicity, assume alist is a list of integers. Question 5 options: search_inc and search_inc3 return the same answers search_inc and search_inc3 do not return the same answers.…
- Writing a program in C++ that combines the three summations and linear search algorithm together in one code and there will be an improvement in the three summation algorithm performance? three summations 3-sum: brute-force algorithm Linear Search Algorithm publie elass Threesun • The linear search algorithm locates an item in a list by examining elements in the sequence one at a time, starting at the beginning. • First compare x with a,. If they are equal, return the position 1. • If not, try a,, If x = a, return the position 2. • Keep going, and if no match is found when the entire list is scanned, publie statie int count (int(] a) int N-a.length: int count- o: for (int i- 0; iLet L₁ = {aa, bb}, L₂ = {A, a, aa}, L3 = {x | x = {a,b}* ^ |x| ≤ 3} = {A, a, b, aa, ab, ba, bb, aaa, aab, aba, abb, baa, bab, bba, bbb}. Evaluate: (L₁n L3) · L2 = •Code for an algorithm to: We begin with two pointers, keeping a low and a high -> finding the midpoint and comparing it to the number we want to discover. If the goal number is greater, we move to the right because the array is sorted. If it's less than that, we shift to the left because it can't be on the right side, where all the numbers are greater than the midpoint.SEE MORE QUESTIONS