
Support graph theory teaching with these IB Maths AI HL 3.16 Tree and Cycle Algorithms notes for Mathematics: Applications and Interpretation Higher Level. Build from precise graph vocabulary to algorithms for connecting networks and finding efficient routes, with structured practice that develops mathematical reasoning.
Topics covered
- Walks, trails, paths, circuits and cycles, including repeated vertices and edges
- Eulerian trails and circuits: vertex degree conditions in connected graphs
- Hamiltonian paths and cycles: visiting every vertex exactly once
- Minimum spanning trees using Kruskal’s and Prim’s algorithms
- Selecting edges, avoiding cycles and finding a minimum total weight
- The Chinese Postman Problem (route inspection), odd vertices and shortest closed routes
- The Travelling Salesman Problem (TSP), including exact searches
- Nearest-neighbour upper bounds and deleted-vertex lower bounds
- Interpreting distance tables, constructing routes and stating a range for the optimal tour
Use for classroom explanation, guided practice, independent study or revision of IB Maths AI HL 3.16 Tree and Cycle Algorithms.
Complete the AHL 3.16 set
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