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Search take to discover this, as a function of n? P9.5.2 Suppose that a directed acyclic graph ha...
Figure 9-7: A directed acyclic graph to be depth-first searched. P9.5.1 Let Gn be a directed ac...
Only P9.5.3 Not P9.5.1
Figure 9-7: A directed acyclic graph to be depth-first searched. P9.5.1 Let Gn be a directed acyclic graph similar to that of Figure 9-7 but with n in place of the parameter "4". Suppose that there is no goal node - how many node visits does a depth-first search take to discover this, as a function of n? P9.5.3 How many different paths of length n, starting from the start node, exist in the graph Gn...
Problem 1: Dynamic Programming in DAG Let G(V,E), |V| = n, be a directed acyclic graph...
Problem 1: Dynamic Programming in DAG Let G(V,E), |V| = n, be a directed acyclic graph presented in adjacency list representation, where the vertices are labelled with numbers in the set {1, . . . , n}, and where (i, j) is and edge inplies i < j. Suppose also that each vertex has a positive value vi, 1 ≤ i ≤ n. Define the value of a path as the sum of the values of the vertices belonging to...
1) Consider the directed graph below. “S” is the start state and “G1,G2,G3” are 3 goal...
1) Consider the directed graph below. “S” is the start state and “G1,G2,G3” are 3 goal states. In traversing the graph one can move only in the direction indicated by the arrows. The numbers on the edges indicate the step-cost for traversing that edge. The numbers in the nodes represent the estimated cost to the nearest goal state. In the following you will be asked to search this graph using various search strategies. When you work out your answer, please...
Give pseudocode that performs the traceback to construct an LCS from a filled dynamic programming table...
Give pseudocode that performs the traceback to construct an LCS from a filled dynamic programming table without using the “arrows”, in O(n + m) time. 2. Suppose we are given a “chain” of n nodes as shown below. Each node i is “neighbors” with the node to its left and the node to its right (if they exist). An independent set of these nodes is a subset of the nodes such that no two of the chosen nodes are neighbors....
3. Given a directed graph G < V E >, we define its transpose Gr < V.E1 > to be the graph such tha...
3. Given a directed graph G < V E >, we define its transpose Gr < V.E1 > to be the graph such that ET-{ < v, u >:< u, v >EE). In other words, GT has the same number of edges as in G, but the directions of the edges are reversed. Draw the transpose of the following graph: ta Perform DFS on the original graph G, and write down the start and finish times for each vertex in...
4. Given a commected weighted directed graph with n vertices, what is the maximum mumber of possible tours in the T...
4. Given a commected weighted directed graph with n vertices, what is the maximum mumber of possible tours in the Traveling Salesman Problem? 5. In the n-Queens problem as given in the textbook, where it is assumed that no two queens can occupy the same row on annx n chessboard, how many nodes are there in the total stat space tree without pruning? 6. As in the previous question, how many leaf nodes in the state space tree? z2 7....
Please provide C language code no c++ ,txt file also needed with comment Finish task 5...
Please provide C language code no c++ ,txt file also
needed
with comment
Finish task 5
Task5: Breadth First Search (15 pts) · Write a program to read the graph information from the file and traverse the graph using BFS algorithm as introduced in lecture. The input for each algorithm is an undirected unweighted connected graph stored in a local file using an adjacency list. Following is the example of the input file (graph.txt) and the graph First line is...
Sc Python 1 Task 2 3 Consider a binary tree of N vertices 4 such that children of node K are 2* K + 1. Vertex 1...
Sc Python 1 Task 2 3 Consider a binary tree of N vertices 4 such that children of node K are 2* K + 1. Vertex 1 is the root Kand 2 of the tree and each node has an integer value associated with it. Such a tree may be represented as an array of N integers by writing down values from consecutive nodes For example, the tree below 8 Test might be represented as an array o A node...
A social network graph (SNG) is a graph where each vertex is a person and each...
A social network graph (SNG) is a graph where each vertex is a person and each edge represents an acquaintance. In other words, an SNG is a graph showing who knows who. For example, in the graph shown on Figure 2, George knows Mary and John, Mary knows Christine, Peter and George, John knows Christine, Helen and George, Christine knows Mary and John, Helen knows John, Peter knows Mary. The degrees of separation measure how closely connected two people are...
10. Consider the Traveling Salesperson problem (a) Write the brute-force algorithm for this proble that considers...
10. Consider the Traveling Salesperson problem (a) Write the brute-force algorithm for this proble that considers (b) Implement the algorithm and use it to solve instances of size 6, 7, (c) Compare the performance of this algorithm to that of Algorithm all possible tours 8, 9, 10, 15, and 20 6.3 using the instances developed in (b) Algorithm 6.3 The Best-First Search with Branch-and-Bound Pruning Algorithm for the Traveling Salesperson problem Problem: Determine an optimal tour in a weighted, directed...
Only P9.5.3 Not P9.5.1
Figure 9-7: A directed acyclic graph to be depth-first searched. P9.5.1 Let Gn be a directed acyclic graph similar to that of Figure 9-7 but with n in place of the parameter "4". Suppose that there is no goal node - how many node visits does a depth-first search take to discover this, as a function of n? P9.5.3 How many different paths of length n, starting from the start node, exist in the graph Gn...
3. Given a directed graph G < V E >, we define its transpose Gr < V.E1 > to be the graph such that ET-{ < v, u >:< u, v >EE). In other words, GT has the same number of edges as in G, but the directions of the edges are reversed. Draw the transpose of the following graph: ta Perform DFS on the original graph G, and write down the start and finish times for each vertex in...
4. Given a commected weighted directed graph with n vertices, what is the maximum mumber of possible tours in the Traveling Salesman Problem? 5. In the n-Queens problem as given in the textbook, where it is assumed that no two queens can occupy the same row on annx n chessboard, how many nodes are there in the total stat space tree without pruning? 6. As in the previous question, how many leaf nodes in the state space tree? z2 7....
Please provide C language code no c++ ,txt file also
needed
with comment
Finish task 5
Task5: Breadth First Search (15 pts) · Write a program to read the graph information from the file and traverse the graph using BFS algorithm as introduced in lecture. The input for each algorithm is an undirected unweighted connected graph stored in a local file using an adjacency list. Following is the example of the input file (graph.txt) and the graph First line is...
Sc Python 1 Task 2 3 Consider a binary tree of N vertices 4 such that children of node K are 2* K + 1. Vertex 1 is the root Kand 2 of the tree and each node has an integer value associated with it. Such a tree may be represented as an array of N integers by writing down values from consecutive nodes For example, the tree below 8 Test might be represented as an array o A node...
A social network graph (SNG) is a graph where each vertex is a person and each edge represents an acquaintance. In other words, an SNG is a graph showing who knows who. For example, in the graph shown on Figure 2, George knows Mary and John, Mary knows Christine, Peter and George, John knows Christine, Helen and George, Christine knows Mary and John, Helen knows John, Peter knows Mary. The degrees of separation measure how closely connected two people are...
10. Consider the Traveling Salesperson problem (a) Write the brute-force algorithm for this proble that considers (b) Implement the algorithm and use it to solve instances of size 6, 7, (c) Compare the performance of this algorithm to that of Algorithm all possible tours 8, 9, 10, 15, and 20 6.3 using the instances developed in (b) Algorithm 6.3 The Best-First Search with Branch-and-Bound Pruning Algorithm for the Traveling Salesperson problem Problem: Determine an optimal tour in a weighted, directed...
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