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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3. For the maze shown below, use graph theory to determine whether it is possible to get out from the Entrance to the Exit. Walk through each doorway exactly once and exit the maze with the shortest path/ walking distance. Give justification to your answer why you chose this theory? Compare your answer with another theory/approach? Exit H G F E D B A Entrance
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
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MC 2 Please answer fast
1. Draw the appropriate graph where 'y' is the last digit of your roll number. Also simulate the shortest distance between node, S to node, E with cost. 18-y D 10 + 2*y S C 17 + 2*y 13+ y B 13-y 14-y A 13 7 1 E
True Or False questions
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.
In the following search graph, each edge is labeled by the cost. Write the expansion ordering (the sequence of nodes to be visited) using the following search strategies: a) Breadth-First Search b) Depth-First Search c) Uniform-Cost Search (GOAL START 15
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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
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