Computer Science: An Overview (13th Edition) (What's New in Computer Science)
13th Edition
ISBN: 9780134875460
Author: Glenn Brookshear, Dennis Brylow
Publisher: PEARSON
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Chapter 11.3, Problem 3QE
Program Plan Intro
Search tree:
Search tree is that tree which consists of the part of the state graph. It is used to solve the eight-puzzle. The start state is the root node of the search tree and children of nodes are those possible states which are reachable from parent node for one production.
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Students have asked these similar questions
a) Given a depth-first search tree T, the set of edges in T are referred to as "tree edges" while those not in T are
referred to as "back edges". Modify the implementation of the Depth-First Search algorithm to print out the
set of tree edges and the set of back edges for the following graph.
1(0 1 1 0 0 1 0)
210 100 0 0
31 10 10 1
4 0 0
1
0 0 0 0
50 0 0 00
1
1
1 0 1
70 0 1 0 1 1 0
6 1 0
0 0
Correct answer will be upvoted else Multiple Downvoted. Computer science.
Alice and Bob are playing a game. They have a tree comprising of n vertices. At first, Bob has k chips, the I-th chip is situated in the vertex computer based intelligence (every one of these vertices are extraordinary). Prior to the game beginnings, Alice will put a chip into one of the vertices of the tree.
The game comprises of turns. Each turn, the accompanying occasions occur (consecutively, precisely in the accompanying request):
Alice either moves her chip to a neighboring vertex or doesn't move it;
for each Bob's chip, he either moves it to a neighboring vertex or doesn't move it. Note that this decision is done freely for each chip.
The game closures when Alice's chip has a similar vertex with one (or numerous) of Bob's chips. Note that Bob's chips might have a similar vertex, despite the fact that they are in various vertices toward the start of the game.
Alice needs to augment the number…
Implement RBFS algorithm and draw the search tree for the following search
space. (Assume start state S and goal state G)
150
42
B
H
6
2
66
105
A
G
10
7
10
E
30
36
100
1
63
1.
2.
Chapter 11 Solutions
Computer Science: An Overview (13th Edition) (What's New in Computer Science)
Ch. 11.1 - Prob. 1QECh. 11.1 - Prob. 2QECh. 11.1 - Prob. 3QECh. 11.1 - Prob. 4QECh. 11.1 - Prob. 5QECh. 11.2 - Prob. 1QECh. 11.2 - Prob. 2QECh. 11.2 - Prob. 3QECh. 11.2 - Prob. 4QECh. 11.2 - Identify the ambiguities involved in translating...
Ch. 11.2 - Prob. 6QECh. 11.2 - Prob. 7QECh. 11.3 - Prob. 1QECh. 11.3 - Prob. 2QECh. 11.3 - Prob. 3QECh. 11.3 - Prob. 4QECh. 11.3 - Prob. 5QECh. 11.3 - Prob. 6QECh. 11.3 - Prob. 7QECh. 11.3 - Prob. 8QECh. 11.3 - Prob. 9QECh. 11.4 - Prob. 1QECh. 11.4 - Prob. 2QECh. 11.4 - Prob. 3QECh. 11.4 - Prob. 4QECh. 11.4 - Prob. 5QECh. 11.5 - Prob. 1QECh. 11.5 - Prob. 2QECh. 11.5 - Prob. 3QECh. 11.6 - Prob. 1QECh. 11.6 - Prob. 2QECh. 11.6 - Prob. 3QECh. 11.7 - Prob. 1QECh. 11.7 - Prob. 2QECh. 11.7 - Prob. 3QECh. 11 - Prob. 1CRPCh. 11 - Prob. 2CRPCh. 11 - Identify each of the following responses as being...Ch. 11 - Prob. 4CRPCh. 11 - Prob. 5CRPCh. 11 - Prob. 6CRPCh. 11 - Which of the following activities do you expect to...Ch. 11 - Prob. 8CRPCh. 11 - Prob. 9CRPCh. 11 - Prob. 10CRPCh. 11 - Prob. 11CRPCh. 11 - Prob. 12CRPCh. 11 - Prob. 13CRPCh. 11 - Prob. 14CRPCh. 11 - Prob. 15CRPCh. 11 - Prob. 16CRPCh. 11 - Prob. 17CRPCh. 11 - Prob. 18CRPCh. 11 - Give an example in which the closed-world...Ch. 11 - Prob. 20CRPCh. 11 - Prob. 21CRPCh. 11 - Prob. 22CRPCh. 11 - Prob. 23CRPCh. 11 - Prob. 24CRPCh. 11 - Prob. 25CRPCh. 11 - Prob. 26CRPCh. 11 - Prob. 27CRPCh. 11 - Prob. 28CRPCh. 11 - Prob. 29CRPCh. 11 - Prob. 30CRPCh. 11 - Prob. 31CRPCh. 11 - Prob. 32CRPCh. 11 - Prob. 33CRPCh. 11 - What heuristic do you use when searching for a...Ch. 11 - Prob. 35CRPCh. 11 - Prob. 36CRPCh. 11 - Prob. 37CRPCh. 11 - Prob. 38CRPCh. 11 - Suppose your job is to supervise the loading of...Ch. 11 - Prob. 40CRPCh. 11 - Prob. 41CRPCh. 11 - Prob. 42CRPCh. 11 - Prob. 43CRPCh. 11 - Prob. 44CRPCh. 11 - Prob. 45CRPCh. 11 - Draw a diagram similar to Figure 11.5 representing...Ch. 11 - Prob. 47CRPCh. 11 - Prob. 48CRPCh. 11 - Prob. 49CRPCh. 11 - Prob. 50CRPCh. 11 - Prob. 51CRPCh. 11 - Prob. 52CRPCh. 11 - Prob. 53CRPCh. 11 - Prob. 54CRPCh. 11 - Prob. 1SICh. 11 - Prob. 2SICh. 11 - Prob. 3SICh. 11 - Prob. 4SICh. 11 - Prob. 5SICh. 11 - Prob. 6SICh. 11 - Prob. 7SICh. 11 - Prob. 8SICh. 11 - Prob. 9SICh. 11 - Prob. 10SICh. 11 - Prob. 11SICh. 11 - Prob. 12SICh. 11 - A GPS in an automobile provides a friendly voice...Ch. 11 - Prob. 14SI
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Similar questions
- Draw the decision tree for the binary search algorithm for a list of 13 elements. For the internal nodes of your decision tree, the node should be labeled with the element checked, the left child should represent what happens if the target is less than the element checked, and the right child should represent what happens if the target is greater than the element checked.arrow_forwardPython Graph Algorithms: Minimum Spanning Trees Suppose you are an engineer working on designing a road network for a new town. The town has many residential areas and commercial centers that need to be connected efficiently. You decided to represent the town as a connected, undirected graph where each vertex represents a location, and each edge represents a road connecting two locations. The weight of each edge represents the distance between the two locations. To ensure the road network is efficient, you need to find the minimum spanning tree of the graph. However, due to budget constraints, you can only construct roads with a maximum distance limit. You need to determine for how many pairs of locations, the minimum spanning tree of the graph remains the same when the maximum distance limit of a road is increased by 2 units. To solve this, you write a program that takes as input the number of locations, the number of roads, and the weight of each road. Your program will also receive…arrow_forward» Class problem : Sketch the decision tree model for comparison sorting on a list of four elements (a,, a2, a3, a4). Find the tree maximum height, the tree minimum height, and the number of leaves.arrow_forward
- Homework: AI Search Techniques Here are a set of slides that illustrate alpha-beta pruning. 1. Annotate the following search tree with the minimax value of each node. MAX MIN MAX 3 6 2 2 1 9 5 3 1 5 4 7 5arrow_forwardMinimum Spanning Trees (MST): Finding a Minimum Spanning Tree for the following graph based on each of the following algorithm. You need to show the procedures step-by-step. You could directly draw the final MST but indicate the sequence of your search by writing a series of letters, i.e. (a), (b), (c)… under the edges of the MST. This type of answer is preferred. Or else, you need to draw a graph for each step separately. Kruskal’s algorithm. Prim’s algorithm (start with the node ‘ORD).arrow_forward4. please help me with this Data structure and algorithmarrow_forward
- When iterating over a hierarchical data structure, such as a tree,Group of answer choices 1. Iterating must be done recursively and it must start at the root, visiting each node once. 2. Iterating must start at the children, and must be done with recursion. 3. Iterating starts at the root but can continue depth first or breadth first, and must be done recursively. 4. Iterating must start at the root and it must traverse nodes exactly once.arrow_forward5. Icosian Game A century after Euler's discovery (see Problem 4), another famous puzzle-this one invented by the renowned Irish mathematician Sir William Hamilton (1805–1865)-was presented to the world under the name of the Icosian Game. The game's board was a circular wooden board on which the following graph was carved: Find a Hamiltonian circuit-a path that visits all the graph's vertices exactly once before returning to the starting vertex-for this graph.arrow_forwardWrite the pre-order, in-order and post-order traversals of the following binary search tree:arrow_forward
- It is easy to see why a binary search tree is preferable to other data structures, such as a linked list or an array, since its benefits are more obvious?arrow_forwardDraw a tree with 14 vertices Draw a directed acyclic graph with 6 vertices and 14 edges Suppose that your computer only has enough memory to store 40000 entries. Which best graph data structure(s) – you can choose more than 1 -- should you use to store a simple undirected graph with 200 vertices, 19900 edges, and the existence of edge(u,v) is frequently asked? - Adjacency Matrix - Adjacency List - Edge Listarrow_forwardUsing an in-order traversal it is quite easy to output all the data in a binary search tree in order. Design an algorithm which when given a binary search tree and two numbers x and y outputs all the data items z in order with the property that xarrow_forward
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