Computer Science: An Overview (12th Edition)
12th Edition
ISBN: 9780133760064
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
Recursion Trees
Use the recursion tree method to determine the asymptotic upper bound of T(n).
T(n) satisfies the recurrence T(n) = 2T(n-1) + n, and T(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…
Chapter 11 Solutions
Computer Science: An Overview (12th Edition)
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. 11.5 - Prob. 4QECh. 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 - Prob. 46CRPCh. 11 - Prob. 47CRPCh. 11 - Prob. 48CRPCh. 11 - Draw a diagram similar to Figure 11.5 representing...Ch. 11 - Prob. 50CRPCh. 11 - Prob. 51CRPCh. 11 - Prob. 52CRPCh. 11 - Prob. 53CRPCh. 11 - Prob. 54CRPCh. 11 - Prob. 55CRPCh. 11 - Prob. 56CRPCh. 11 - Prob. 57CRPCh. 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
- 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.arrow_forwardAssume there is a rooted tree A. Write a recursive program that returns both the number of nodes(N) and number of edges(E) in A.arrow_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_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_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_forward3. Write an algorithm that uses an adjacency matrix, A[n][n], to determine if a graph is undirected (for every edge there is an edge in the reverse direction).arrow_forward
- trjrtjfhfgharrow_forwardd) For the graph below, list the nodes an order that they might be marked as "done" when running Dijkstra's algorithm starting from node 0 (note that his is the same as the previous graph, but now with weights). 2 10 10 9 1 1 4 3 8 4 4 3 10 10 5arrow_forward11. For the given graph below, use the depth-first search algorithm to visit the vertices and write the sequence of the visit. Start from the vertex "A". At any given vertex, you will visit first the unexplored vertex that has least alphabetical order. с G E F Answer the sequence of visiting the vertices: -_arrow_forward
- Q5. Write an algorithm to traverse the Binary Search Tree by post-order traversal method. SUBJECT:DATA STRUCTUREarrow_forwardCreate a binary linked tree, and traverse the tree by using the recursive function. The structure of the tree is as follows: //check pic// You should input the nodes in pre-order sequence. If a child of a node is NULL, input a space. Write the function of create binary tree, pre-order to print the nodes, in-order to print the nodes and post-order to print the nodes. Count the height of the tree. Hints: Header file typedef char ElemType; typedef struct node//define the type of binary tree node { }BTnode; Source file #include <stdio.h> #include <stdlib.h> #include "tree.h" BTnode * createTree()//create the binary tree，return the root { BTnode *tnode;// tnode is the root char elem; ;//input the character //if the input is a space，set the pointer as NULL Else// if the input is not a space，generate the binary node and create its left…arrow_forwardB1- Perform A* search on the following state space graph, starting at A and reaching G. Draw the search tree with the values of each node. What is the path to goal?arrow_forward
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