Discrete Structures: Graphs & Trees refers to fundamental mathematical concepts used in computer science and related fields. Graphs are collections of nodes connected by edges, representing relationships or networks, while trees are a special type of graph with a hierarchical, non-cyclic structure. Both are essential for modeling data, solving problems like searching and sorting, and underpinning algorithms in areas such as networking, databases, and artificial intelligence.
Discrete Structures: Graphs & Trees refers to fundamental mathematical concepts used in computer science and related fields. Graphs are collections of nodes connected by edges, representing relationships or networks, while trees are a special type of graph with a hierarchical, non-cyclic structure. Both are essential for modeling data, solving problems like searching and sorting, and underpinning algorithms in areas such as networking, databases, and artificial intelligence.
What is a graph?
A graph is a set of vertices (nodes) connected by edges. Edges can be undirected or directed, and graphs model relationships or networks.
What is a tree?
A tree is a connected acyclic graph. It has n vertices and n−1 edges, and there is a unique simple path between any two vertices.
What is the difference between directed and undirected graphs?
In an undirected graph, edges have no direction. In a directed graph (digraph), edges have a direction from one vertex to another, creating in-degrees and out-degrees.
What is a spanning tree?
A spanning tree is a subgraph that connects all vertices and is a tree. It has exactly n−1 edges; in a weighted graph, a minimum spanning tree minimizes the total edge weight.