Bellman Ford Algorithm Negative Weights
📖 Scenario: You are working on a navigation system that needs to find the shortest path between cities. Some roads have toll discounts represented as negative weights. You need to handle these negative weights safely.
🎯 Goal: Build a TypeScript program that uses the Bellman Ford algorithm to find the shortest distances from a starting city to all other cities, even when some roads have negative weights.
📋 What You'll Learn
Create an array of edges representing roads with source, destination, and weight
Create a variable for the number of vertices (cities)
Implement the Bellman Ford algorithm to calculate shortest distances
Detect if there is a negative weight cycle
Print the shortest distances or a message if a negative cycle exists
💡 Why This Matters
🌍 Real World
Navigation systems and routing algorithms often need to handle roads with discounts or penalties, which can be modeled as negative weights.
💼 Career
Understanding Bellman Ford is important for software engineers working on graph algorithms, network routing, and optimization problems.
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