Given that V is a two- dimensional matrix of 20 rows and 15 columns. The fırst element is referred to as V[0,0]. The matrix is stored in row major form whereevery array element occupies 2 bytes. If the starting address where V is stored is "x", what is the address where V[15,12] is located.A) x+324B) x+384C) x+444D) x+474E) x+624O AO EO BO D Any random element from the given Binary Search Tree is to be searched using thestandard algorithm. In the Binary Search Tree given in the above problem(i) Determine the average or expected number of comparisons required to locate theelement.(ii) determine the number of comparisons in the worst case.O 2.8 and 3.5O 2,89 and 32 and 32 and 42.89 and 4

Any random element from the given Binary Search Tree is to be searched using the standard algorithm. In the Binary Search Tree given in the above problem (i) Determine the average or expected number of comparisons required to locate the element. (ii) determine the number of comparisons in the worst case.

Any random element from the given Binary Search Tree is to be searched using the standard algorithm. In the Binary Search Tree given in the above problem (i) Determine the average or expected number of comparisons required to locate the element. (ii) determine the number of comparisons in the worst case.

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

See similar textbooks

Similar questions

Trace the search of element 43 in the list given using linear search and binary search. {2, 4, 7, 10, 11, 43, 50, 59, 60, 66, 69, 70, 79} {2, 8, 10, 12, 18, 20, 22, 28, 30, 34, 38, 40, 50} Explain what happen when the search element is not found.
Solve the following problem using balanced binary search trees (TreeSet or TreeMap whichever is appropriate). Given array A of integers, and integer x, find a pair of integers i #j with A[i]+ A[j] = x. The array is not sorted, but it does not contain duplicate elements. If there are multiple pairs that sum to x, choose a pair in which the smaller of two elements is as big as possible. For example, if A = {3, 6, 4, 1, 5, 2} then sumOf(A, 8) returns {0, 4} corresponding to the pair A[0] = 3, A[4] = 5, whose sum is 8. Note that this pair is preferred to (1, 5}, because min(A[0], A[4]) = 3, which is bigger than min(A[1], A[5]) = 2. %3D %3D %3D %3D Class Pair { int one, two; Pair (int a, int b) {one a; two b;} Pair sumOf (int [] A, int x) //code to solve the problem; RT should be 0(n log n)
BACKTRACKING
Construct a Divide and Conquer-based algorithm for the following problem andanalyze the same in the worst case.Input: An ordered array L with n elements and item X that is to be searched inthe array L.Output: Index j where L[j]=X, if X is found or else j = 0, if X not found.
1. Draw the right half of the decision tree for Insertion Sort on an array of size n = 4. In other words, assume that the first comparison a1 : az always satisfies a, > a2. 2. %3D
Generate the decision tree for sorting the following sequence 50, 100, 150 with all its possible permutations
Problem 8: Optimal Binary Search Tree Find the optimal binary search tree (BST) for the following keys and frequencies: Key: 1 2 3 4 5 6 7 Frequencies: 3 5 9 2 11 13 16
Question 8 Greedy best-fırst search is equivalent to A* search with all step costs set to 0. O True O False Question 9 If you had implemented Uniform Cost Search (the graph search version) in Programming Assignment 1, it would have found an optimal solution. (You may assume that the path costs are kept with the nodes on the frontier and explored lists and checked when comparing newly generated states to what has been seen before.) O True O False Question 10 A* search with an admissible heuristic always expands fewer nodes than depth-first search. O True O False
do it fast
*Data Structutures and Algorithm
Using a self-balancing binary search tree, binary tree sort is nevertheless slower than merge sort, taking O(n log n) time in the worst case.
Which one is the true statement? -A hash table can be used to make an algorithm run faster even in the worst case by trading space for time. -An iterative improvement algorithm starts with a sub-optimal feasible solution and seeks to improve it in each iteration until reaching a optimal feasible solution.