Opening your learning path
Progress is saved as you study.
Opening your learning path
Progress is saved as you study.
The Shortest Path (Bellman-Ford / BFS+K) pattern applies when you need the Shortest Path (Bellman-Ford / BFS+K) technique within the Graph Traversal Patterns (DFS & BFS) pattern. Its time complexity is O(V × E) and space complexity O(V). It is used in 2 problems on Thita, including Cheapest Flights Within K Stops and Shortest Path with Alternating Colors. Common variations are Graph DFS - Cycle Detection (Directed Graph) and Deep Copy / Cloning.
Find shortest paths with constraints using Bellman-Ford algorithm and BFS with limited stops.
Shortest Path (Bellman-Ford / BFS+K) is one of the 12 subpatterns of the Graph Traversal Patterns (DFS & BFS) pattern, which covers dFS/BFS traversal, topological sort, shortest paths, Union-Find, and MST. The whole pattern is about 5 hours of study. This subpattern is a depth topic for once the core techniques are automatic.
Master graph algorithms including DFS/BFS traversal, topological sort, shortest paths (Dijkstra, Bellman-Ford), Union-Find, and advanced graph concepts. Problems in this subpattern are usually searched for as Bellman-Ford, cheapest flights k stops, shortest path k edges, BFS constraints, leetcode 787.
Read the theory for Shortest Path (Bellman-Ford / BFS+K), then work the problems attached to it in the browser editor. Your solution runs against the problem's test cases, and the AI coach offers a hint about the technique you are missing rather than a finished solution. Progress is tracked per subpattern, so the Graph Traversal Patterns (DFS & BFS) tracker shows this one as covered once you have solved its problems.
Shortest Path (Bellman-Ford / BFS+K) is one lesson in a 16-pattern DSA course. If you are preparing end to end, work the interview-critical patterns first and use the pattern sheet as the checklist; if you are here for one technique, the Graph Traversal Patterns (DFS & BFS) guide is the shortest path back to the rest of it.