feat(graph): Add Bellman-Ford algorithm with negative cycle detection
This PR implements the Bellman-Ford algorithm for finding shortest paths in weighted directed graphs.
Key Features: ✅ Handles negative weight edges (unlike Dijkstra) ✅ Detects negative weight cycles ✅ Comprehensive JavaDoc documentation ✅ Clean API with Result class ✅ Path reconstruction support ✅ Input validation ✅ Early termination optimization
Time Complexity: O(V × E) Space Complexity: O(V)
This implementation fills a gap in the graph algorithms collection and complements existing shortest path implementations.
- [ ] I have read CONTRIBUTING.md.
- [ ] This pull request is all my own work -- I have not plagiarized it.
- [ ] All filenames are in PascalCase.
- [ ] All functions and variable names follow Java naming conventions.
- [ ] All new algorithms have a URL in their comments that points to Wikipedia or other similar explanations.
- [ ] All new code is formatted with
clang-format -i --style=file path/to/your/file.java
Codecov Report
:x: Patch coverage is 89.28571% with 6 lines in your changes missing coverage. Please review.
:white_check_mark: Project coverage is 78.53%. Comparing base (2c4bf3c) to head (e38ff4e).
| Files with missing lines | Patch % | Lines |
|---|---|---|
| ...main/java/com/thealgorithms/graph/BellmanFord.java | 89.28% | 4 Missing and 2 partials :warning: |
Additional details and impacted files
@@ Coverage Diff @@
## master #7127 +/- ##
============================================
+ Coverage 78.51% 78.53% +0.02%
- Complexity 6752 6763 +11
============================================
Files 759 760 +1
Lines 22402 22458 +56
Branches 4400 4412 +12
============================================
+ Hits 17589 17638 +49
- Misses 4108 4112 +4
- Partials 705 708 +3
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