Different ways to show a graph can really change how fast we can get around in it. Let’s break it down simply:
Adjacency List: This is good for graphs that don’t have a lot of connections. It uses less memory and helps you find neighboring points quickly. You can usually find neighbors in about time, where is how many connections that point has.
Adjacency Matrix: This works well for graphs that have many connections. It makes it really easy to check if there’s a link between points, taking just time for each check. But it uses more memory. Getting around could be slower since you might end up checking a lot of empty connections.
In short, how you represent a graph really impacts how much memory you use and how quickly you can move through it!
Different ways to show a graph can really change how fast we can get around in it. Let’s break it down simply:
Adjacency List: This is good for graphs that don’t have a lot of connections. It uses less memory and helps you find neighboring points quickly. You can usually find neighbors in about time, where is how many connections that point has.
Adjacency Matrix: This works well for graphs that have many connections. It makes it really easy to check if there’s a link between points, taking just time for each check. But it uses more memory. Getting around could be slower since you might end up checking a lot of empty connections.
In short, how you represent a graph really impacts how much memory you use and how quickly you can move through it!