What is the algorithm’s efficiency class in the worst case?
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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Transcribed Image Text:## Format Requirement
Algorithms in pseudo code **MUST** be placed in
code blocks/fences, and use
highlighter.
Algorithms should follow the pseudo code standard
described in *Pseudocode Handout*.
срр
as the syntax
Do NOT change the template except the answer
portion.
Formulas and equations should be in math mode
using Latex math symbols.
- Markdown math tutorial:
http://tug.ctan.org/info/undergradmath/undergradmat
h.pdf
Two ways to enter math mode:
Insert a pair of dollar signs: \$your
equations go here\$. This is the inline math mode.
*Notice that there is no space between the \$ and
the letter*.
Insert a pair of double-dollar signs: \$\ $
your equations go here \$\$, which produces a
standalone equation/formula set.
![Consider the following algorithm to check whether a
graph defined by its adjacency matrix is complete.
ср
ALGORITHM GraphComplete(A[0..n â^' 1, 0..n â^' 1])
//Input: Adjacency matrix A[0..n â^' 1, 0..n
â^' 1]) of an undirected graph G
//Output: 1 (true) if G is complete and 0
(false) otherwise
if n == 1 return 1 //one-vertex graph is
complete by definition
else
if not GraphComplete (A[0..n â^' 2, 0..n â^'
2]) return 0
else
for j
if A[n â^' 1, j]
0 to n
2 do
0 return 0
return 1
What is the algorithm’s efficiency class in the
worst case?
#### Answer:](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbad9eda7-57c9-475e-b126-0f24ea0e5433%2F811de169-047d-4588-a915-b88720058435%2F5qxushg_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Consider the following algorithm to check whether a
graph defined by its adjacency matrix is complete.
ср
ALGORITHM GraphComplete(A[0..n â^' 1, 0..n â^' 1])
//Input: Adjacency matrix A[0..n â^' 1, 0..n
â^' 1]) of an undirected graph G
//Output: 1 (true) if G is complete and 0
(false) otherwise
if n == 1 return 1 //one-vertex graph is
complete by definition
else
if not GraphComplete (A[0..n â^' 2, 0..n â^'
2]) return 0
else
for j
if A[n â^' 1, j]
0 to n
2 do
0 return 0
return 1
What is the algorithm’s efficiency class in the
worst case?
#### Answer:
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