Bellman Ford Algorithm made easy: learn how to find shortest paths (and detect negatives) with clear intuition, commented Python code, dry run, and Big-O.<\/p>\n\n\n\n
Here’s the [Problem Link<\/span><\/mark><\/a><\/strong>] to begin with.<\/p>\n\n\n Given:<\/p>\n\n\n\n Return an array 1. What does the problem ask?<\/h2>\n\n\n\n
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V<\/code> vertices (0 \u2026 V-1<\/code>)<\/li>\n\n\n\n[u, v, w]<\/code> (w<\/code> may be negative)<\/li>\n\n\n\nsrc<\/code><\/li>\n<\/ul>\n\n\n\ndist<\/code> where dist[i]<\/code> is the shortest distance<\/strong> from src<\/code> to i<\/code>.
If the graph has a negative-weight cycle<\/strong> reachable from src<\/code>, return [-1]<\/code>.<\/p>\n\n\n\n
\n\n\n\n2. Mini example<\/h2>\n\n\n\n