Consider the following graph. Use the A search algorithm to find the optimal path from the start node S to the Goal (G). Ties are broken in alphabetical order. Show your work similar to what we did in the class, show the "Expanded" list and "Frontier list Edit View Insert Format Tools Table 3 heb 12pt Paragraph BIVA B he3 he3

Consider the following graph. Use the A search algorithm to find the optimal path from the start node S to the Goal (G). Ties are broken in alphabetical order. Show your work similar to what we did in the class, show the "Expanded" list and "Frontier list Edit View Insert Format Tools Table 3 heb 12pt Paragraph BIVA B he3 he3

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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5. List/draw all the nonisomorphic connected graphs on 6 vertices. [Hint: Start with all the trees and then add edges one step at a time.
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Wouldyou use the adjacency list structure or the adjacency matrix Strijc each of the following cases? Justify your choice. a. The graph has 10,000 vertices and 20,000 edges, and it is importan as little space as possible. b; The graph has 10,000 vertices and 20,000,000 edges, and it is impo use as little space as possible. c. You need to answer the query arëAdjacent as fast as possible, no how much space you use.
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This is a data structure and algorithm question do not plagarise please and write it correctly
Question 3 public E unknown() { Node pt1,pt2; if (head != null) { pt1=head; pt2= getNode(size-1); if (pt1.data.equals(pt2.data)) return getNode(size/2).data; else return pt1.data; } A It returns half of the data of the last node in the list or the data of the first node B It returns half of the data of the last node in the list or the data of the last node in the list C It returns the data of the middle node in the list or the data of the first node It returns the data of the middle node in the list or the data of the last node in the list
Array lists and linked lists are examples of list implementations. Provide an example of why a linked list is preferable than an array list. Justify your conduct in each scenario.
Establish the graph using adjacent matrix and adjacent list. Create the following graph by adjacent matrix and adjacent list respectively, and display the graph.
Consider the following set of data (the key is Name): CLASS Name Alan Course CSCI 23000 CSCI 24000 CSCI 24000 CSCI 23000 CSCI 23000 CSCI 54100 CSCI 54100 Year 2018 2018 2019 Bob Carl 2018 Мaгy Ed 2018 Zac Frank 2019 2019 Consider the B* tree index (shown below) for the information in CLASS (given above). Carl Mary Zac Alan Bob Carl Ed Frank Mary Zac a) Add “arrows" to the diagram (above) to show the important structural features of the B* organization. b) Comment technically on changes in the configuration of this B* tree after the addition of the key value “Brad" Be specific and technical as to what happens to the structure. Answer: c) Comment technically on changes in the configuration of this B* tree after the addition the key value “Dan" (Assume the general algorithm given in Comer's paper) Be specific and technical as to what happens to the structure. Answer:
this is for my data structure class please provide me with the complete code and the output thank you
Objective: Student should be able to develop the programs for queue using arrays and linked list Exercise 1: Implementation of Queue using Array or Linked list Consider a real life situation. design a simulation that can help to answer it. Cars lined up at a car wash have 3 line need to consider where need to line up(pick the less car) Be sure to state any assumptions that you make and provide any probabilistic data that must be considered as part of the scenario.
A. B. 3 In the search tree below, the two-line codes indicate the target, and the numbers on the edge indicate the cost of the search. Using each of the following blind methods, write the order of the nodes to be searched to reach the first target: a) Breath-first Search (BFS) b) Depth-first Search (DFS) c) Iterative Depth-first Search