**Breadth/Depth First Searches**In the diagram, we have a graphical representation of a network of nodes labeled from A to K. These nodes are interconnected by edges, showing the possible paths between them. The layout of this graph implies a structural organization where nodes are linked, suggesting paths suitable for search algorithms like Breadth First Search (BFS) and Depth First Search (DFS).**Instructions for Traversal:**Provide the order of nodes in each of the search strategies indicated below, starting at the specified node. If the method must select from many next candidate nodes, choose the node which is alphabetically first.i. **Breadth First Search (BFS) starting at node A**ii. **Depth First Search (DFS) starting at node A**iii. **Breadth First Search (BFS) starting at node E**iv. **Depth First Search (DFS) starting at node E**For each scenario, follow the algorithms' rules to explore the graph. In BFS, you systematically explore all neighbor nodes at the present depth prior to moving on to nodes at the next depth level. In DFS, you explore as far as possible along each branch before backtracking. When presented with multiple options, choose the path that begins with the letter closest to 'A'.

Breadth First Search: Breadth First Search or also known as BFS is a graph traversal algorithm. In this graph traversal technique, a node is selected as starting node (source node) and then the graph is traversed layerwise while the neighbouring nodes are explored (neighbouring nodes are connected to the starting or source node directly). In BFS the graph is traversed breadth wise as follows: Move horizontally while traversing all the nodes on current layer Move on to the next layer Depth First Search: Depth First Search or also known as DFS is also a graph traversing technique. It is a recursive method which employs the knowledge of backtracking. There is an exhaustive search for all the nodes while moving forward, if possible, or else by using backtracking. DFS is implemented as follows: Select a starting or source node and move all its adjacent node on a stack. Pick a node that is on the stack and now put all its adjacent node on a stack. Repeat the process until no node is left on stack. Mark the already visited node to prevent getting stuck in a loop or visiting a infinite number of times.Breadth First Search starting at node A: A B F G C D E H I J K Breadth First Search starting at node E: E F H A I G B J K C D Depth First Search starting at node A: A B C F E D I J K G H Depth First Search starting at node E: E F A B C D H I J K

Engineering

Computer Science

Breadth/Depth First Searches I) K) 2 Give the order of nodes in each of the searches below, starting at the indicated node. When a method may select from among many next candidate nodes, prefer the node which is alphabetically first. i Breadth First Search starting at node A ii Depth First Search starting at node A iii Breadth First Search starting at node E iv Depth First Search starting at node E

Breadth/Depth First Searches I) K) 2 Give the order of nodes in each of the searches below, starting at the indicated node. When a method may select from among many next candidate nodes, prefer the node which is alphabetically first. i Breadth First Search starting at node A ii Depth First Search starting at node A iii Breadth First Search starting at node E iv Depth First Search starting at node E

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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