• An undirected graph G = (V, E) has Eulerian Tour if following two conditions are true: 1. All vertices with non-zero degree are connected. We don't care about vertices with zero degree because they don't belong to Eulerian Cycle or Path. 2. All vertices have even degree. • Write the Python code that finds an Euler Tour of given graph G (if one exists) following the Fleury's Algorithm: 1. Make sure the graph has either 0 or 2 odd vertices. 2. If there are 0 odd vertices, start anywhere. If there are 2 odd vertices, start at one of them. 3. Follow edges one at a time. If you have a choice between a bridge and a non-bridge, always choose the non-bridge. 4. Stop when you run out of edges. Input: Adjacency list representation of the graph G Output: The graph has an Euler Tour / The graph has no Euler Tour [] # test 1: Grap with Euler Tour g1= Graph (5) g1.addEdge(1, 0) gl.addEdge(0, 2) gl.addEdge (2, 1) g1.addEdge(0, 3) g1.addEdge (3, 4) gl.addEdge(4, 0) g1.Euler Tour() # test 2: Grap without Euler Tour g2 Graph (5) g2.addEdge(1, 0) g2.addEdge(0, 2) g2.addEdge (2, 1) g2.addEdge(0, 3) g2.addEdge (3, 4) g2.addEdge(1, 3) P2.EulerTour().

• An undirected graph G = (V, E) has Eulerian Tour if following two conditions are true: 1. All vertices with non-zero degree are connected. We don't care about vertices with zero degree because they don't belong to Eulerian Cycle or Path. 2. All vertices have even degree. • Write the Python code that finds an Euler Tour of given graph G (if one exists) following the Fleury's Algorithm: 1. Make sure the graph has either 0 or 2 odd vertices. 2. If there are 0 odd vertices, start anywhere. If there are 2 odd vertices, start at one of them. 3. Follow edges one at a time. If you have a choice between a bridge and a non-bridge, always choose the non-bridge. 4. Stop when you run out of edges. Input: Adjacency list representation of the graph G Output: The graph has an Euler Tour / The graph has no Euler Tour [] # test 1: Grap with Euler Tour g1= Graph (5) g1.addEdge(1, 0) gl.addEdge(0, 2) gl.addEdge (2, 1) g1.addEdge(0, 3) g1.addEdge (3, 4) gl.addEdge(4, 0) g1.Euler Tour() # test 2: Grap without Euler Tour g2 Graph (5) g2.addEdge(1, 0) g2.addEdge(0, 2) g2.addEdge (2, 1) g2.addEdge(0, 3) g2.addEdge (3, 4) g2.addEdge(1, 3) P2.EulerTour().

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

See similar textbooks

Related questions

Q: euler Write a function "euler (graph)" that takes in a connected graph as its input, and then…

A: Your python program is given below as you required with output.

Q: Give an algorithm for the following problem. Given a list of n distinct positive integers, partition…

A: Input Array: The program takes an input array of positive integers nums.Sorting: The input array is…

Q: age digital presence or digital footprint. What are the hint

A: Introduction: Look yourself up on the internet. Enter your name into search engines such as Google,…

Q: The Sieve of Eratosthenes is an elegant algorithm for finding all of theprime numbers up to some…

A: // C++ program to print all primes smaller than or equal to n using Sieve of Eratosthenes#include…

Q: write a computer program to implement the Prim’s algorithm for finding the Minimum Spanning Tree…

A: Prim's algorithm is use to find the Minimum Spanning Tree ( MST ) for a given connected undirected…

Q: Write a Python program for applying CNN with considering the following requirements: Shuffle the…

A: Python program for applying CNN with considering thegiven requirements is given below:-

Q: Count overlapping disks def count_overlapping_disks(disks): Right on the heels of the previous…

A: Actually, python is a easiest programming language. It is a dynamically typed programming language.

Q: Using c++ Create a program to satisfy the following problems: Set up a random experiment to test…

A: 1. SEQUENTIAL SEARCH This type of search lloks up for an element in an array of elemnts sequntially…

Q: How do you solve this in Python? def riffle(items, out=True): Given a list of items…

A: We have to use Python to solve this question:

Q: Given below is the implementation of the bellman ford and dijkstras algorithm. Please complete the…

A: Coded using Python 3.

Q: ative integers to be used as indices into a sequence, such as a string. If string s has length n,…

A: Code: n = [1, 2, 3, 4, 5]k = -2print('n[k]: ', n[k]) j = k + len(n) print('n[j]: ', n[j])

Q: A prime number (or a prime) is a natural number greater than 1 that is not a product of two smaller…

A: //if you want to just return the number of primes less than or equal to n: #include…

Q: (5) Write a function countingsort (mylist) which implements counting sort for lists of non-negative…

A: Below is the complete solution with explanation in detail for the given question regarding counting…

Q: Ada has an array of n toys, each of which is either a ball, squeaker, or stuffed. She wants to sort…

A: An algorithm is a set of well-defined instructions or a step-by-step procedure for solving a…

Q: Suppose a string Z is formed by interspersing the characters from other two strings X and Y. The new…

A: Start with first characters of X, Y and Z. If first characters of X and Z matches, move 1 character…

Q: Two strings of equal length can be interlaced like the teeth of a zipper to form a new word. For…

A: According to the information given:- we have to complete the toString method using recursion.

Q: An ordinary ruler is a straight piece of wood where distances 0, 1, 2 . . . , N are marked, for some…

A: Algorithm:Return the last element of the input list (myruler), representing the reach of the…

Q: Given an array that represents Breadth First Search or BFS traversal of a Complete Binary Search…

A: Required code is given below:

Q: Write a Python program for applying CNN with considering the following requirements: Shuffle the…

A: NOTE Below is the program for the given question. Hope you understand it well. If you have any…

Q: python The number of possible binary tree topologies (given all possible heights) with n nodes is…

A: Input : Value of n Output : log plot of nth Catalan number vs n

Q: Use this psuedocode to write python code of the Floyd-Warshall Algorithm. Please show all the code…

A: We have to write python code of the Floyd-Warshall Algorithm. BY using the given psuedocode.

Q: Write a program that outputs the nodes of a graph in a depth-first traversal.

A: According to BartleBy Guidelines we need to answer only one question So I have answered first…

Q: orithms to enumerate these sets. (You do not need to discuss the mechanics of constructing Turing…

A: It is defined as a step-by-step procedure that defines a set of instructions that must be carried…

Q: Give an algorithm for the following problem and determine its time com- plexity. Given a list of n…

A: The duration of an algorithm's execution in relation to the length of its input is known as its time…

Q: In each case, you should provide two strings in L and two strings not in L in the spaces provided.…

A: I Have answered this question in step 2.

Concept explainers

Polynomial Time

The problems for which the deterministic polynomial-time algorithm exists belong to the complexity class (p) and it is central in the field of computational complexity theory. According to Cobham’s thesis, polynomial time is a synonym for “feasible”, “fast”, and “efficient”.

Question

• An undirected graph G = (V, E) has Eulerian Tour if following two conditions are true:
1. All vertices with non-zero degree are connected. We don't care about vertices with zero degree because they don't belong to Eulerian
Cycle or Path.
2. All vertices have even degree.
• Write the Python code that finds an Euler Tour of given graph G (if one exists) following the Fleury's Algorithm:
1. Make sure the graph has either 0 or 2 odd vertices.
2. If there are 0 odd vertices, start anywhere. If there are 2 odd vertices, start at one of them.
3. Follow edges one at a time. If you have a choice between a bridge and a non-bridge, always choose the non-bridge.
4. Stop when you run out of edges.
Input:
Adjacency list representation of the graph G
Output: The graph has an Euler Tour / The graph has no Euler Tour
[ ] # test 1: Grap with Euler Tour
g1 = Graph (5)
g1.addEdge(1, 0)
g1.addEdge(0, 2)
g1.addEdge (2, 1)
g1.addEdge(0, 3)
g1.addEdge (3, 4)
g1.addEdge(4, 0)
g1.Euler Tour()
# test 2: Grap without Euler Tour
g2 = Graph (5)
g2.addEdge(1, 0)
g2.addEdge(0, 2)
g2.addEdge (2, 1)
g2.addEdge(0, 3)
g2.addEdge (3, 4)
g2.addEdge (1, 3)
P2.EulerTour()

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

SEE SOLUTION Check out a sample Q&A here

Step 1

Step 2

Step 3

Step 4

Step by step

Solved in 4 steps with 4 images

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.

Similar questions

An ordinary ruler is a straight piece of wood where distances 0, 1, 2 . . . , N are marked, for some N ≥ 1. A sparse ruler (or simply a ruler ) is an ordinary ruler from which some of the numbers 1, . . . , N −1 may have been deleted. The number of marks on the ruler is its order and the value N is its reach. Here, we will represent a ruler as a Python list of strictly increasing integers starting with 0. For instance [0,1,3,7] is a ruler of order 4 and reach 7. could you please help me answer this in python , the part in bold explains what they mean by ruler here
Given a weighted graph class and a PQInt class, please complete the implementation of the Dijkstras algorithm according to the instructions in the screenshot provided. Be done in python 3.10 or later, please class WeightedGraph(Graph) : """Weighted graph represented with adjacency lists.""" def __init__(self, v=10, edges=[], weights=[]) : """Initializes a weighted graph with a specified number of vertexes. Keyword arguments: v - number of vertexes edges - any iterable of ordered pairs indicating the edges weights - list of weights, same length as edges list """ super().__init__(v) for i, (u, v) in enumerate(edges): self.add_edge(u, v, weights[i]) def add_edge(self, a, b, w=1) : """Adds an edge to the graph. Keyword arguments: a - first end point b - second end point """ self._adj[a].add(b, w) self._adj[b].add(a, w) def…
Write a Python program for applying CNN with considering the following requirements: Shuffle the cifar 10 training set x_train( each input with corresponding label in y_train ) Select 2500 images and you must ensure that each class must contain at least 180 samples Apply CNN that keeps noisy examples. Overall, the pseudocode of CNN is as follows: The code must contain at least one lambda expression The code must contain at one comprehension list It is Not allowed to use the numpy library. Euclidean distance is the distance between two samples in Euclidean space. The formula can be expressed as:
in java replit code please
An ordinary ruler is a straight piece of wood where distances 0, 1, 2 . . . , N are marked, for some N ≥ 1. A sparse ruler (or simply a ruler ) is an ordinary ruler from which some of the numbers 1, . . . , N −1 may have been deleted. The number of marks on the ruler is its order and the value N is its reach. Here, we will represent a ruler as a Python list of strictly increasing integers starting with 0. For instance [0,1,3,7] is a ruler of order 4 and reach 7. A sparse ruler of reach N is complete if it is possible to measure all distances between 1 and N by taking the dierences between two marks. For instance [0,1,3] is complete because the pairs (0, 1), (1, 3), and (0, 3) yield distances of 1, 2, and 3 respectively. (Note that the pair of marks do not need to be consecutive.) On the other hand, [0,1,4] is not complete as there is no way to measure a distance of 2. could you please provide the code for this question in python , the parts in bold explain some of the concepts in this…
3. Implement both Prim's algorithm and Kruskal's algorithm. Compare therunning times of your programs on a set of "random" graphs.4. Write a program to find all the connected components of a graph.5. Consider the following list of integers: [1,2,3,4,5,6,7,8,9,10]. Show how this list is sorted by the following algorithms:• bubble sort• selection sort• insertion sort• shell sort (you decide on the increments)• merge sort• quick sort (you decide on the pivot value
Define a function breadthFirst, which performs a breadth-first traversal on a graph, given a start vertex. This function should return a list of the labels of the vertices in the order in which they are visited. Test the function thoroughly with the case study program.(In Python with comments) Use this template: class Vertex: def __init__(self, label): self.label = label self.neighbors = [] def __str__(self): return self.label def add_neighbor(self, neighbor): self.neighbors.append(neighbor) self.neighbors.sort() # Graph definition provided, please don't modify any of the provided code# Add any helper methods if necessaryclass Graph: def __init__(self): self.vertices = [] # Add a vertex object def add_vertex(self, vertex): self.vertices.append(vertex) # Get index of a vertex with corresponding label # Return -1 if not found def get_vertex_index(self, label): index = 0 for vertex in…
4. Write the pseudocode for an algorithm that takes as input a list of numbers that are sorted in nondecreasing order, and finds the location(s) of the most frequently occurring element(s) in the list. If there are more than one element that is the most frequently occurring, then return the locations of all of them. Analyze the worst-case time complexity of this algorithm and give the O() estimate. (A list is in nondecreasing order if each number in the list is greater than or equal to the number preceding it.)
We will be looking at a problem known as the partition problem. The partition problem is to determineif a given set can be partitioned into two subsets such that the sum of elements in both subsets is thesame. This is a variant of the 0-1 knapsack problem.Instead of printing 'Set can be partitioned', use Backtracking so that the python program print the partitioned subsets.Python program:# Returns true if there exists a sublist of list `nums[0…n)` with the given sum def subsetSum(nums, total): n = len(nums) # `T[i][j]` stores true if subset with sum `j` can be attained # using items up to first `i` items T = [[False for x in range(total + 1)] for y in range(n + 1)] # if the sum is zero for i in range(n + 1): T[i][0] = True # do for i'th item for i in range(1, n + 1): # consider all sum from 1 to total for j in range(1, total + 1): # don't include the i'th element if `j-nums[i-1]` is negative if…
I need the code from start to end with no errors and the explanation for the code ObjectivesJava refresher (including file I/O)Use recursionDescriptionFor this project, you get to write a maze solver. A maze is a two dimensional array of chars. Walls are represented as '#'s and ' ' are empty squares. The maze entrance is always in the first row, second column (and will always be an empty square). There will be zero or more exits along the outside perimeter. To be considered an exit, it must be reachable from the entrance. The entrance is not an exit.Here are some example mazes:mazeA7 9# # ###### # # ## # # #### # ## ##### ## ########## RequirementsWrite a MazeSolver class in Java. This program needs to prompt the user for a maze filename and then explore the maze. Display how many exits were found and the positions (not indices) of the valid exits. Your program can display the valid exits found in any order. See the examples below for exact output requirements. Also, record…
Write a Python program for applying CNN with considering the following requirements: Shuffle the cifar 10 training set x_train( each input with corresponding label in y_train ) Select 2500 images and you must ensure that each class must contain at least 180 samples Apply CNN that keeps noisy examples. Overall, the pseudocode of CNN is as follows: The code must contain at least one lambda expression The code must contain at one comprehension list It is Not allowed to use the numpy library. Euclidean distance is the distance between two samples in Euclidean space. The formula can be expressed as: USE THIS CODE import tensorflowimport cv2from tensorflow import kerasfrom PIL import Imageimport numpy as p (x_train, y_train), (_, _) = tf.keras.datasets.cifar10.load_data() x_train = [cv2.cvtColor(image, cv2.COLOR_BGR2GRAY).flatten().tolist() for image in x_train]##x_train=np.asarray(x_train)print(len(x_train))print(len(x_train[0])) # 32*32 NOTE: PLEAS USE THE CODE I ATTACHED NOTE 2:…
1. Write a linear (0(n)) running time complexity program in Java to find all the dominant elements in the given array of n distinct integer elements. An element is a dominant element if it is greater than all the elements to its right side. The rightmost element in the array is always a dominant element. For example, in the array {16, 17, 4, 3, 5, 2}, dominant elements are 17, 5 and 2. 2. Prove that your algorithm takes (0(n)) running time to compute this task. Formulate the sum equation for this proof.