Shortest Path Finding Series - Part 03: Implementing Dijkstra's Algorithm in C/C++

🚦 Dijkstra’s Algorithm in Action — From Code to Clarity!
Ever wondered how navigation apps find the fastest route? In this part, we code the magic behind it — Dijkstra’s Algorithm — and bring our graph to life with full path tracing and detailed visualization logic. Let’s make shortest paths truly smart! 💡

Welcome back to the Shortest Path Finding Series!
In this part, we finally bring everything together and implement the Dijkstra’s Algorithm in C++ from scratch 🚀

We also add several utility functions that make our graph system smarter and more modular, including:
-findNodeIndex() — find nodes by label
-findEdgeIndex() — find the edge between two nodes
-findMinimumDistanceNeighbourIndex() — get the closest unvisited node
-checkDuplicate() — keep your node lists clean
-tracePath() — print the complete shortest route step-by-step

At the end, we run the full Dijkstra shortest path algorithm, allowing you to input a starting city and destination city, and choose between a summary or a detailed route trace.

🧠 What You’ll Learn
-How to implement Dijkstra’s Algorithm in C++ from scratch
-How to use classes and vectors to build a real-world graph
-How to trace paths and display the complete route
-How to make your program modular and beginner-friendly


💬 Try It Yourself
Create your own cities.txt file and experiment with different routes and distances.
Example:

"A" "B" R1 2
"B" "C" R2 4
"C" "D" R3 3

📘 Source Code
Complete source code available on my GitHub
https://github.com/mni007nomi/Dijkstr...

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