# CS 2110 Lecture Notes - Lecture 19: Adjacency Matrix, Linked List, Dfs Furniture

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Published on 14 Jun 2017
School
Cornell University
Department
Computer Science
Course
CS 2110
Professor
Lecture 19 - More Graphs!
oRecall, there are two ways we can represent a graph
Look at last lecture for examples
oWhich one is better?
Depends on properties of the graph and what kind of algorithms you plan
on executing on it
oRecall DAG’s
Directed Acyclic Graphs
No cycles!
oGraph Algorithms
Search
Depth-first-search
Given a graph and a node u, we want to visit each node reachable
from u
Essentially, we want to find all possible nodes that
someone can get to along a path from u
What things to we need to keep track of?
There may be multiple paths to the same node v
It would be a waste of time to double count
boolean[] visited;
If node v has been visited, then visited[v] is true
To visit v, visited[v] must be set to true.
v is REACHABLE* from u if there is a path (u, …,
v) in which all nodes of the path are unvisited.
Recursively
public static void dfs(int u) {
visited[u] = true;
for all edges (u, v) leaving u {
if v is unvisited then dfs(v); }}
Worst-case runtime - O(e*n)
For loop will be at most e edges
And worst case call this on all n elements
Worst-case space - O(n)
Call stack will have n frames
Iteratively
Use a stack!
find more resources at oneclass.com
find more resources at oneclass.com
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