Task 3 Using the state space graph given below, OPEN and CLOSED lists, to demonstrate the data-driven Hill Climbing, if: • Search start node is B • Search goal node is K • the smaller heuristic measure indicates the better quality of the node Task 4 Using the state space graph given below, OPEN and CLOSED lists, to demonstrate the goal-driven Best-First Search algorithm, if: • Search start node is K • Search goal node is C • the higher heuristic measure indicates the better quality of the node 12 в ) 17 )14 E G 6 10 5 H 2 K)3 00

Task 3 Using the state space graph given below, OPEN and CLOSED lists, to demonstrate the data-driven Hill Climbing, if: • Search start node is B • Search goal node is K • the smaller heuristic measure indicates the better quality of the node Task 4 Using the state space graph given below, OPEN and CLOSED lists, to demonstrate the goal-driven Best-First Search algorithm, if: • Search start node is K • Search goal node is C • the higher heuristic measure indicates the better quality of the node 12 в ) 17 )14 E G 6 10 5 H 2 K)3 00

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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Use your assigned number of vertices from “Part 3” of the “Finite Math Assignment Form: Task 3” supporting document to do the following: Assigned number : 11 F. Create a weighted connected graph with the following characteristics: • The assigned number of vertices are alphabetically labeled starting with A. • Vertex A is not adjacent to vertex G. • At least two vertices have a degree greater than 2. • All weights are greater than 0. • No weights are the same. 1. Identify the degree of each vertex in your graph. 2. Explain whether the graph has an Euler trail, using definitions, properties, or theorems. 3. Describe a path from vertex A to G. 4. Find the total weight of the path from part F3. Show all work. Use the weighted graph I attached please.
Use the PERT diagram shown to the right to answer the following questions. Assume that time is measured in days.a. Find a critical path for task G.b. Find a critical path for task H.c. Find a critical path for the vertex "End."d. On what day will task F begin?e. On what day will task G begin?f. How many days are required to complete this project?
Build the d table for the following graph if you use the breadth first search and start from node s. Remember that we use the alphabetical order rule Assume the blanks/boxes are for the following nodes. Each blank/box is for one node. starting from node r followed by s, t, u, v, w, x, and y, respectively. S t и V W y
Mark Zuckerberg, the CEO of Facebook, has hired you to lead the Facebook Algorithms Group. He has asked you to use various graph algorithms to analyze the world's largest social network. The Facebook Graph has 2.8 billion vertices, with each vertex being a Facebook user. Two vertices are connected provided those two users are "friends". The first decision you need to make is how you want to model the Facebook graph. Determine whether you should use an adjacency-list representation or an adjacency-matrix representation.
1. In the figure bellow, the nodes are laid out on a grid where each square has a size of 5x5 units. The node P is the start node, and the D node is goal node. List the order of nodes in which the A* algorithm explores the graph. Use the Manhattan Distances as a heuristic function. Note that if two nodes have the same value, select the nodes in alphabetical order. 31 33 24 31 25 40 21 22 25 25 21 start 13 35 35 45 21 Figure: graph with edge costs (z
Required information NOTE: This is a multi-part question. Once an answer is submitted, you will be unable to return to this part. Consider the given graph. a If yes, find the Euler path of the graph. Multiple Choice a, e, c, e, b, e, d, a, c, d a, e, c, b, e, d, b, a, c, d a, e, c, e, b, e, d, b, a, c The graph has no Euler path. a, e, c, e, b, e, d, b, a, c, d
Which graph representation is efficient for finding if a node is adjacent or not, why the other is not efficient?
A graph is given below with its path and heuristics values. Show the process of identifying the correct path from the start node (A) to end node (M) following the Best First Search searching algorithms: Heuristic Values State Value A 0 B 3 C 6 D 5 E 1 F 3 G 2 H 4 I 3 J 2 K 1 L 2 M 1
The following graph is given. Let all arcs (links or edges) have the same cost, S is the start node, G is the Goal node, and h is the heuristic function. Determine using Best-First Search the order of nodes to be visited. Match the left side (node number) to the right side (order of visit). Select zero for the node that is never visited. S h(S)=7 h(A)=6 ( A h(B)=5 h(G)=0 G C h(C)=4 D h(D)=2
If Breadth first search is applied to the following graph starting from node A, what is the pi table at the end for nodes B, C, D, E, F, G, H, respectively. Fill in the blanks in the same order from left to right. A В D E F G H
Given a graph of friends who have different interests, determine which groups of friends have the most interests in common. Then Explanation 0 Node pair (2,4) shares only 1 interest (4) and node pair (1,3) shares 1 interest (3). v Input Format for Custom Testing use a little math to determine a value to return. • Node pair (1,2) shares 2 interests (interests 2 and 3) and node pair (2, 3) shares also 2 interests (interest 1 and 3). So, the maximum Each pair of friends_nodes = 4 friends is connected by the following interests: Input from stdin will be processed as follows and passed to the function. The graph will be represented as a series of nodes numbered consecutively from 1 to friends_nodes. Friendships have evolved based on interests which will be represented as weights in the graph. Any members who share the same interest are said to be connected by that interest. Once the node pairs with the maximum number of shared interests are determined, multiply the friends_nodes of the…
1. In the figure bellow, the nodes are laid out on a grid where each square has a size of 5x5 units. The node P is the start node, and the D node is goal node. List the order of nodes in which the A* algorithm explores the graph. Use the Manhattan Distances as a heuristic function. Note that if two nodes have the same value, select the nodes in alphabetical order. goal 31 33 24 25 31 33 25 40 23 25 33 21 22 33 21 25 32 25 21 43 start 45 13 35 25 28 35 45 35 21 42 w 25 Figure: graph with edge costs (x)