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Questions and Answers
What is the key difference between traversing undirected edges and directed edges in a graph?
What is the key difference between traversing undirected edges and directed edges in a graph?
In a graph, what is the subgraph 𝑆𝑆 referred to as?
In a graph, what is the subgraph 𝑆𝑆 referred to as?
What defines a spanning subgraph of a graph?
What defines a spanning subgraph of a graph?
Which type of graph allows edges to be traversed in both directions?
Which type of graph allows edges to be traversed in both directions?
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What is an adjacency matrix used for in graphs?
What is an adjacency matrix used for in graphs?
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For an undirected graph represented by an adjacency matrix, how many cells are modified when adding or removing an edge?
For an undirected graph represented by an adjacency matrix, how many cells are modified when adding or removing an edge?
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In an adjacency matrix of an undirected graph, which cell(s) are affected when adding an edge between nodes?
In an adjacency matrix of an undirected graph, which cell(s) are affected when adding an edge between nodes?
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What happens to the adjacency matrix of an undirected graph when an edge between two nodes is removed?
What happens to the adjacency matrix of an undirected graph when an edge between two nodes is removed?
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How is a directed graph adjacency matrix different from an undirected graph adjacency matrix?
How is a directed graph adjacency matrix different from an undirected graph adjacency matrix?
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What does the sum value of a row in an adjacency matrix of an undirected graph indicate?
What does the sum value of a row in an adjacency matrix of an undirected graph indicate?
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If a node has edges going to all other nodes in an undirected graph, what does its row sum indicate?
If a node has edges going to all other nodes in an undirected graph, what does its row sum indicate?
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What is the purpose of the Graph ADT operation 'adjacent'?
What is the purpose of the Graph ADT operation 'adjacent'?
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In the context of undirected graphs, what does the adjacency matrix represent?
In the context of undirected graphs, what does the adjacency matrix represent?
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What is the time complexity of adding a new node using a matrix-based implementation of Graph ADT?
What is the time complexity of adding a new node using a matrix-based implementation of Graph ADT?
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Which operation in the Graph ADT is used to find and return the neighbors of a given node?
Which operation in the Graph ADT is used to find and return the neighbors of a given node?
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What does the 'addEdge' function in Graph ADT do?
What does the 'addEdge' function in Graph ADT do?
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In a graph with $N$ nodes and $E$ edges, what is the memory complexity of a matrix-based implementation of Graph ADT?
In a graph with $N$ nodes and $E$ edges, what is the memory complexity of a matrix-based implementation of Graph ADT?
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What does the 'removeEdge' function in Graph ADT do?
What does the 'removeEdge' function in Graph ADT do?
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'adjacent' operation in Graph ADT is used to ___________?
'adjacent' operation in Graph ADT is used to ___________?
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'getNeighbors' function in Graph ADT is responsible for ___________?
'getNeighbors' function in Graph ADT is responsible for ___________?
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'addNode' operation in Graph ADT focuses on ___________?
'addNode' operation in Graph ADT focuses on ___________?
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Study Notes
Graph ADT: Adjacency Matrices
- A graph of 𝑛𝑛 nodes can be represented as a two-dimensional array called adjacency matrix.
- Let 𝐺𝐺 be the undirected graph corresponding to an adjacency matrix 𝐴𝐴.
- An edge in 𝐺𝐺 between nodes 𝑖𝑖 and 𝑗𝑗 exists if 𝐴𝐴 𝑖𝑖 𝑗𝑗 = 1 for row 𝑖𝑖 and column 𝑗𝑗.
- No edge in 𝐺𝐺 between nodes 𝑖𝑖 and 𝑗𝑗 exists if 𝐴𝐴 𝑖𝑖 𝑗𝑗 = 0 for row 𝑖𝑖 and column 𝑗𝑗.
- Adjacency matrix is symmetric for undirected graphs, meaning 𝐴𝐴 𝑖𝑖 𝑗𝑗 = 𝐴𝐴 𝑗𝑗 𝑖𝑖 for 𝑖𝑖 ∈ {1, … , 𝑛𝑛} and 𝑗𝑗 ∈ {1, … , 𝑛𝑛}.
- For an undirected graph, two cells are always modified when we add or remove an edge.
Graph ADT
- The Graph ADT supports adding and removing both nodes and edges, checking if two nodes are adjacent, and getting the neighbors of one node.
- The Graph ADT methods include:
-
void addNode(Node 𝒏𝒏)
-
void removeNode(Node n)
-
void addEdge(Node n, Node m)
-
void removeEdge(Node n, Node m)
-
boolean adjacent(Node n, Node m)
-
Node[] getNeighbours(Node n)
-
- Semantics: Nodes are identified by values (names) so
add_edge
andrem_edge
can find the nodes being referred to.
Graph ADT: List-based Implementation
- The GraphNode class represents a node in the graph, with a label (id) and a set of edges.
- The GraphList class represents the graph, with a head node and methods to add and remove nodes and edges.
Graph ADT: Adding and Finding Nodes
- The
addNode
method adds a new node to the graph, with a given label. - The
findNode
method finds a node in the graph by its label.
Graph ADT: Adding and Removing Edges
- The
addEdge
method adds a new edge between two nodes, by adding the nodes to each other's edges. - The
removeEdge
method removes an edge between two nodes, by removing the nodes from each other's edges.
Graph ADT: Removing a Node
- The
removeNode
method removes a node from the graph, by removing all edges to and from the node and then removing the node from the list.
Graph ADT: Get Neighbors and Adjacency
- The
getNeighbors
method returns an array of nodes that are neighbors of a given node. - The
adjacent
method checks if two nodes are adjacent.
Graph ADT: Displaying the Graph
- The
print
method prints the graph, showing each node and its neighbors.
Graph ADT: Implementation Cost
- The memory complexity of the list-based implementation is 𝑂𝑂(𝑁𝑁 + 𝐸𝐸) for graphs with 𝑁𝑁 nodes and 𝐸𝐸 edges.
- The time complexity of the list-based implementation includes:
- Adding a node: 𝑂𝑂(1)
- Removing a node: 𝑂𝑂(𝑁𝑁)
- Finding/accessing a node: 𝑂𝑂(𝑁𝑁)
- Adding and removing an edge: 𝑂𝑂(𝑁𝑁)
- Adjacency check: 𝑂𝑂(𝑁𝑁)
Graphs
- A graph can be directed or undirected.
- Undirected edges can be traversed in both directions, while directed edges can only be traversed in the indicated direction.
- A subgraph 𝑆𝑆 of a graph 𝐺𝐺 is a subset of the nodes and edges of 𝐺𝐺.
- A subgraph 𝑆𝑆 is a spanning subgraph of 𝐺𝐺 if it is formed from all nodes of 𝐺𝐺 and some of the edges of 𝐺𝐺.
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Description
Test your knowledge on the basics of graph theory including nodes, edges, directed and undirected graphs, subgraphs, and graph traversal.