- AA linear data structure in which elements are arranged in a sequence
- BA non-linear data structure in which elements are arranged in a hierarchy
- CA non-linear data structure in which elements are arranged in a network
- DA data structure that represents a set of elements and their relationships
Graph - Quiz
- AA node that has no outgoing edges
- BA node that has no incoming edges
- CA node in a graph
- DA node that is connected to another node by an edge
- Aa) A node that has no outgoing edges
- BA node that has no incoming edges
- CA connection between two nodes in a graph
- DA node that is connected to another node by an edge
- AA graph in which every node is connected to every other node
- BA graph in which every edge has a direction associated with it
- CA graph in which every node has at most one outgoing edge
- DA graph in which every edge has no direction associated with it
- AA way to sort the vertices of a graph based on their degrees
- BA way to sort the vertices of a graph based on their distances from a particular node
- C A way to sort the vertices of a directed acyclic graph based on their dependencies
- DA way to sort the edges of a graph based on their weights
- AA sequence of nodes in a graph
- BA sequence of edges in a graph
- CA sequence of nodes and edges in a graph
- DA cycle in a graph
- ATo find the shortest path between two nodes in a weighted graph
- BTo find the longest path between two nodes in a weighted graph
- CTo find the minimum spanning tree of a graph
- DTo find the maximum flow in a network
- ATo find the shortest path between two nodes in a weighted graph
- BTo find the longest path between two nodes in a weighted graph
- CTo find the minimum spanning tree of a graph
- DTo find the maximum flow in a network
- ATo find the shortest path between two nodes in a weighted graph
- BTo find the longest path between two nodes in a weighted graph
- CTo find the minimum spanning tree of a graph
- D To find the maximum flow in a network
- AA directed graph has edges with directions, while an undirected graph does not.
- BA directed graph has cycles, while an undirected graph does not.
- CA directed graph has only one connected component, while an undirected graph can have multiple connected components.
- DA directed graph has only one source node, while an undirected graph can have multiple source nodes.
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- A. A linear data structure in which elements are arranged in a sequence
- B. A non-linear data structure in which elements are arranged in a hierarchy
- C. A non-linear data structure in which elements are arranged in a network
- D. A data structure that represents a set of elements and their relationships
Remarks:
Explanation: A non-linear data structure in which elements are arranged in a network
- A. A node that has no outgoing edges
- B. A node that has no incoming edges
- C. A node in a graph
- D. A node that is connected to another node by an edge
Remarks:
Explanation: A node in a graph
- A. a) A node that has no outgoing edges
- B. A node that has no incoming edges
- C. A connection between two nodes in a graph
- D. A node that is connected to another node by an edge
Remarks:
Explanation: A connection between two nodes in a graph
- A. A graph in which every node is connected to every other node
- B. A graph in which every edge has a direction associated with it
- C. A graph in which every node has at most one outgoing edge
- D. A graph in which every edge has no direction associated with it
Remarks:
Explanation: A graph in which every edge has no direction associated with it
- A. A way to sort the vertices of a graph based on their degrees
- B. A way to sort the vertices of a graph based on their distances from a particular node
- C. A way to sort the vertices of a directed acyclic graph based on their dependencies
- D. A way to sort the edges of a graph based on their weights
Remarks:
Explanation:
A way to sort the vertices of a directed acyclic graph based on their dependencies.
Note: A topological sort is only possible for a directed acyclic graph (DAG) as there should not be any cycles in it. It provides a linear ordering of the vertices such that for every directed edge uv from vertex u to vertex v, u comes before v in the ordering.
- A. A sequence of nodes in a graph
- B. A sequence of edges in a graph
- C. A sequence of nodes and edges in a graph
- D. A cycle in a graph
Remarks:
Explanation: A sequence of nodes and edges in a graph
- A. To find the shortest path between two nodes in a weighted graph
- B. To find the longest path between two nodes in a weighted graph
- C. To find the minimum spanning tree of a graph
- D. To find the maximum flow in a network
Remarks:
Explanation: To find the shortest path between two nodes in a weighted graph
- A. To find the shortest path between two nodes in a weighted graph
- B. To find the longest path between two nodes in a weighted graph
- C. To find the minimum spanning tree of a graph
- D. To find the maximum flow in a network
Remarks:
Explanation: To find the shortest path between two nodes in a weighted graph (it can also detect negative cycles in the graph)
- A. To find the shortest path between two nodes in a weighted graph
- B. To find the longest path between two nodes in a weighted graph
- C. To find the minimum spanning tree of a graph
- D. To find the maximum flow in a network
Remarks:
Explanation: To find the shortest path between all pairs of nodes in a weighted graph
- A. A directed graph has edges with directions, while an undirected graph does not.
- B. A directed graph has cycles, while an undirected graph does not.
- C. A directed graph has only one connected component, while an undirected graph can have multiple connected components.
- D. A directed graph has only one source node, while an undirected graph can have multiple source nodes.
Remarks:
Explanation: A directed graph has edges with directions, while an undirected graph does not. In a directed graph, each edge has a direction associated with it, indicating that the edge only goes from one node to another. In an undirected graph, edges do not have directions, indicating that the edge goes both ways between two nodes.