I am learning about Depth First Search Graphs in class. In the book we use for class, this pseudocode came up that explains a basic depth-first-search algorithm. I am trying to implement the pseudocode into actual code and I honestly just don't know where to start. I am trying to write an adjacency list, so would that mean that I would have a LinkedList to store an array in? Or is an ArrayList a better choice?
I am learning about Depth First Search Graphs in class. In the book we use for class, this pseudocode came up that explains a basic depth-first-search algorithm. I am trying to implement the pseudocode into actual code and I honestly just don't know where to start. I am trying to write an adjacency list, so would that mean that I would have a LinkedList to store an array in? Or is an ArrayList a better choice?
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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I am learning about Depth First Search Graphs in class. In the book we use for class, this pseudocode came up that explains a basic depth-first-search
![DFS{G} {
for each u in V do // Initialize
= white;
color [u]
pred[u]
time=0;
= NULL;
||
for each u in V do
// start a new tree
if (color[u]
white) DFsVisit (u);
==
}
DFSVisit (u) {
color[u] = gray; // u is discovered
// u discovery time
d [u] = ++time;
for each v in Adj (u) do
// Visit undiscovered vertex
if (color [v] ==
white) {
pred [v]
DFSVisit(v);
u;
}
color[u]
= black; // u has finished
f [u] = ++time;
// u finish time
}](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd25d0f0a-7593-4c06-a2e8-6386a145fe28%2F7f9a56e9-b262-4573-8b20-254d12a517b5%2Ff37ruqi_processed.png&w=3840&q=75)
Transcribed Image Text:DFS{G} {
for each u in V do // Initialize
= white;
color [u]
pred[u]
time=0;
= NULL;
||
for each u in V do
// start a new tree
if (color[u]
white) DFsVisit (u);
==
}
DFSVisit (u) {
color[u] = gray; // u is discovered
// u discovery time
d [u] = ++time;
for each v in Adj (u) do
// Visit undiscovered vertex
if (color [v] ==
white) {
pred [v]
DFSVisit(v);
u;
}
color[u]
= black; // u has finished
f [u] = ++time;
// u finish time
}
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