Please show the simulation of this problem. The simulation must be clear and understandable. A = {1,2,3}B = (2,3,4,5,6)BCC = {1,2,3,4,5)The above graph showcases a Constraint graph consisting of 3 nodes A, B, and C along withtheir possible domains. Now you have to employ Backtracking Search with ForwardChecking to develop a solution to this CSP. You must use Degree and MRV heuristicswherever needed. Your solution also must satisfy the given constraints (i) A = B; (ii) A C/2;and (iii) B = C

Step 1: To solve the given constraint satisfaction problem (CSP) using backtracking search with…

Answered: A = {1,2,3} B = (2,3,4,5,6) B C C =…

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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Assume you are to write a program to analyze the social connection between students in MTSU. Each student is a node in a undirected graph. An edge is added between two nodes if these two students have close social connections, i.e., in the same club, or in the same department. Which would be a better representation for this graph? Question 45 options: adjacency matrix representation adjacency list representation
6 591 9 1 75 1 3 10 8 8 5 8 G746
Write to code describes how to create the links dataset that represents the input graph. In this particular case, the links represent a directed network. The links dataset has only the nodes identification, which means, the from and to variables. The link weights in the transitive closure problem are irrelevant. In other words, it doesn’t matter the cost or the weight of the links, the algorithm searches for the possible paths to connect the nodes within the input graph. If there is a link or a set of links, no matter the weights, that connects node i to node j, that is the matter.
5. If a graph has 0.5 * V2 edges, what is the running time of the unweighted shortest path algorithm if you use an adjacency matrix? a) (V) b) (V + E) c) (E) d) none of the above 6. If a graph has 0.5 * V2 edges, what is the running time of the unweighted shortest path algorithm if you use an adjacency list? a) (V) b) (V + E) c) Ꮎ( V2 ) d) b or c are equivalent
A quadratic function f(x) is hidden from view. You must find the minimum value of the function f(x). Choose the form of the quadratic function f(x) that you would like to see in order to answer the question most efficiently. Form: Vertex Form ,f(x)=(x-3)^(2)-25
CSP Given the map-coloring problem represented in the constraint graph below. Connecting variables (adjacent regions in a map) can't have the same value. A Previous D E LL F How many solutions are there if three colors are allowed? 9 --DO Next
Consider the graph in Figure 1. Unless otherwise indicated, always visit adjacent nodes in alphabetical order. Provide the A* search traveling nodes. Starting node and Goal node are Node 5 and Node 12, respectively. 12 10 16 15 2 3 11 12 15 10 15 10 11 12 12 4 1 Figure 1. A Route Map Requirements: When filling in the blank blow, please choose "-" to link nodes, such as 1-2-3. Travel Map: type your answer.
A network topology specifies how computers, printers, and other devices are connected over a network. The figure below illustrates three common topologies of networks: Ring, Star, and Fully Connected Mesh. You are given a boolean matrix A[0..n−1, 0..n−1], where n > 3, which is supposed to be the adjacency matrix of a graph modeling a network with one of these topologies. Your task is to determine which of these three topologies, if any, the matrix represents. Design a brute-force algorithm for this task and indicate its time efficiency class.
Your colleague needs to implement a search algorithm to apply to a particular problem they are facing. The problem has the following characteristics: ● The graph representing the problem has a very high forward branching factor. ● The graph is dynamically generated (i.e. it is not a static graph). ● There will be some cycles in the graph . ● There is reason to believe that the goal state will be very deep in the graph. ● There is an efficient method of estimating how far each state is from the goal, and an estimate will always be less than or equal to the actual cost . Of the search algorithms we have covered, which would you recommend to your colleague, and why? Be very detailed in justifying this choice and providing advice about things they should pay special attention to.
Which of the following statements are true regarding CSPs? To improve the backtracking efficiency, in order to break tie in choosing variable, we can choose the variable with the most constraints on remaining variables. Cutset conditioning can be used in any type of constraint graphs to speed up the search. To improve the backtracking efficiency, we prefer the value that rules out the fewest choices for the neighboring variables in the constraint graph. If the constraint graph is a tree-structured, the search can be done very fast. If the constraint graph is made of independent subproblems, we can speed up the search with decomposition.
Consider the following constraint graph. Trace Arc Consistency (AC3) algorithm on this graph. If nothing has changed use "="
The following is an instance of the conjunctive normal form (CNF) problem. (x1 V 2 V x3) ^ (x3 V¤1) ^ (x2 V x3) Transform this problem into a clique problem. The solution to this CNF problem is not unique. Use the graph to find 3-member cliques. Each column should contain 1 member. Find as many cliques as you can find. Find their corresponding CNF solutions.

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