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Spanning tree

A spanning tree is a tree subgraph of a connected graph that contains every vertex.

How 2 Manning books explain it

Classic Computer Science Problems in Swift: Essential techniques for practicing programmers

A spanning tree is a tree that includes every vertex of a graph.

How it is used
Frames spanning trees as the structure behind minimum-cost network design.
How deep it goes
Defines trees, cycles, connectivity, and minimum spanning trees, then demonstrates an implementation with Prim’s algorithm.
Examples
Uses a cycle-pruning diagram and a weighted graph connecting 15 United States metropolitan areas.
What you can do after
Builds a minimum spanning tree in Swift using a weighted graph, visited vertices, and an ascending priority queue.

Read how Classic Computer Science Problems in Swift: Essential techniques for practicing programmers explains spanning tree →

Optimization Algorithms: AI techniques for design, planning, and control problems

A spanning tree is a cycle-free subgraph of an undirected graph that contains every vertex and connects them with the minimum number of edges.

How it is used
Models connected infrastructure while minimizing the number of selected edges or, for MSTs, their total cost.
How deep it goes
Defines structural conditions, distinguishes MSTs, and demonstrates Kruskal’s step-by-step edge selection with pseudocode and code.
Examples
Uses damaged-road repair, graph vertices A–F, and a weighted town network visualized with Python.
What you can do after
Apply it via Python, NetworkX, and Kruskal’s algorithm to construct and visualize a minimum spanning tree.

Read how Optimization Algorithms: AI techniques for design, planning, and control problems explains spanning tree →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.