Interactive Graph Theory Learning
Guest User
Using app without sign in
New book
PuLP, OR-Tools and Pyomo by Example
By Mohammed Islam Hadjoudj
Turn real business decisions into optimization models and solve them in Python with free, open-source tools.
412 pages
Master graph theory through interactive lessons
A comprehensive introduction to graph theory fundamentals, covering definitions, terminology, types, theorems, and applications.
Explore the essential structures in graphs including paths, walks, trails, cycles, connectivity, components, and the handshaking lemma.
Explore trees as fundamental graph structures and their wide-ranging applications in computer science, data organization, and real-world systems.
Master the fundamental graph traversal techniques and their systematic methods for exploring graph structures.
Master the fundamental algorithms for finding shortest paths in weighted graphs, including Dijkstra's, Bellman-Ford, A*, and Floyd-Warshall algorithms.
Learn about minimum spanning trees and the algorithms to find them: Prim's, Kruskal's, and Borůvka's algorithms.
A comprehensive exploration of graph connectivity, components, and their applications in network analysis and system design.
Master network flow problems including maximum flow, minimum cut, and their applications in optimization and resource allocation.