Process Map Data using C++ Adjacency List Shortest Path
Key Takeaways
Uses C++ adjacency list to find shortest path between towns
Original Description
In this project you will use the adjacency list data structure and other data structures to find the shortest distance between a set of towns loaded from a file.
The shortest path problem is well known in the field of computer science. An adjacency list is probably the best data structure to represent a set of connected vertices to find the shortest path from one vertex to another. One application for shortest paths is in computer networking routing. Another common application for its use is on a Map, where it is useful to find the shortest distance from one town to another.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Graph Algorithms
View skill →Related Reads
📰
📰
📰
📰
The Minecraft anvil is a tree-cost optimization problem in disguise
Dev.to · Mark
KMP Algorithm (Knuth-Morris-Pratt): The Smart Way to Perform String Matching in O(N)
Dev.to · Jaspreet singh
Every Backtracking Problem Is the Same Three Lines. I Just Couldn't See the Tree.
Dev.to · Alex Mateo
DSA From Zero to Hero #3: Sliding Window (Fixed Size) Explained With a Java Example
Medium · Programming
🎓
Tutor Explanation
DeepCamp AI