# Algorithms

## Graphs

Graphs play a critical role in computer science. Here is an example of an undirected graph:

There are two main ways to represent a graph.

Adjacency Matrix is a 2D array of size V x V where V is the number of vertices in a graph. Let the 2D array be adj[][], a slot adj[i][j] = 1 indicates that there is an edge from vertex i to vertex j. Adjacency matrix for undirected graph is always symmetric. Adjacency Matrix is also used to represent weighted graphs. If adj[i][j] = w, then there is an edge from vertex i to vertex j with weight w.

### Adjacancy List In The Vertices (Nodes)

An array of lists is used. Size of the array is equal to the number of vertices. Let the array be array[]. An entry array[i] represents the list of vertices adjacent to the ith vertex. This representation can also be used to represent a weighted graph. The weights of edges can be represented as lists of pairs. Following is adjacency list representation of the above graph.

(Examples and explanations taken from https://www.geeksforgeeks.org/graph-and-its-representations/)

## Graph Exercise

Take the following graph showing cities and their distances.

(Example taken from https://de.wikipedia.org/wiki/Dijkstra-Algorithmus)

1. Choose the most appropriate representation for this graph.
2. Implement the graph.
3. Write a method that outputs the graph to console, in the way as described below.
``````Frankfurt
Mannheim: 85 km
Würzburg: 217 km
Kassel: 173 km
Mannheim
Karlsruhe: 80 km
Frankfurt: 85 km
...
``````

## Dijkstra Algorithm

The Dijkstra algorithm is an algorithm that allows finding the shortest path between two graph nodes. Please implement the Dijkstra algorithm on the graph shown above.

You find a good description (pseudocode + visual explanation) in the Wikipedia article on it: https://de.wikipedia.org/wiki/Dijkstra-Algorithmus.