Computer Science Engineering (CSE) Exam  >  Computer Science Engineering (CSE) Questions  >  Let G be a graph with n vertices and m edges.... Start Learning for Free
Let G be a graph with n vertices and m edges. What is the tightest upper bound on the running time on Depth First Search of G? Assume that the graph is represented using adjacency matrix.
  • a)
    O(n)
  • b)
    O(m+n)
  • c)
    O(n2)
  • d)
    O(mn)
Correct answer is option 'C'. Can you explain this answer?
Most Upvoted Answer
Let G be a graph with n vertices and m edges. What is the tightest upp...
Depth First Search of a graph takes O(m+n) time when the graph is represented using adjacency list. In adjacency matrix representation, graph is represented as an "n x n" matrix. To do DFS, for every vertex, we traverse the row corresponding to that vertex to find all adjacent vertices (In adjacency list representation we traverse only the adjacent vertices of the vertex). Therefore time complexity becomes O(n2)
Explore Courses for Computer Science Engineering (CSE) exam

Top Courses for Computer Science Engineering (CSE)

Question Description
Let G be a graph with n vertices and m edges. What is the tightest upper bound on the running time on Depth First Search of G? Assume that the graph is represented using adjacency matrix.a)O(n)b)O(m+n)c)O(n2)d)O(mn)Correct answer is option 'C'. Can you explain this answer? for Computer Science Engineering (CSE) 2025 is part of Computer Science Engineering (CSE) preparation. The Question and answers have been prepared according to the Computer Science Engineering (CSE) exam syllabus. Information about Let G be a graph with n vertices and m edges. What is the tightest upper bound on the running time on Depth First Search of G? Assume that the graph is represented using adjacency matrix.a)O(n)b)O(m+n)c)O(n2)d)O(mn)Correct answer is option 'C'. Can you explain this answer? covers all topics & solutions for Computer Science Engineering (CSE) 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Let G be a graph with n vertices and m edges. What is the tightest upper bound on the running time on Depth First Search of G? Assume that the graph is represented using adjacency matrix.a)O(n)b)O(m+n)c)O(n2)d)O(mn)Correct answer is option 'C'. Can you explain this answer?.
Solutions for Let G be a graph with n vertices and m edges. What is the tightest upper bound on the running time on Depth First Search of G? Assume that the graph is represented using adjacency matrix.a)O(n)b)O(m+n)c)O(n2)d)O(mn)Correct answer is option 'C'. Can you explain this answer? in English & in Hindi are available as part of our courses for Computer Science Engineering (CSE). Download more important topics, notes, lectures and mock test series for Computer Science Engineering (CSE) Exam by signing up for free.
Here you can find the meaning of Let G be a graph with n vertices and m edges. What is the tightest upper bound on the running time on Depth First Search of G? Assume that the graph is represented using adjacency matrix.a)O(n)b)O(m+n)c)O(n2)d)O(mn)Correct answer is option 'C'. Can you explain this answer? defined & explained in the simplest way possible. Besides giving the explanation of Let G be a graph with n vertices and m edges. What is the tightest upper bound on the running time on Depth First Search of G? Assume that the graph is represented using adjacency matrix.a)O(n)b)O(m+n)c)O(n2)d)O(mn)Correct answer is option 'C'. Can you explain this answer?, a detailed solution for Let G be a graph with n vertices and m edges. What is the tightest upper bound on the running time on Depth First Search of G? Assume that the graph is represented using adjacency matrix.a)O(n)b)O(m+n)c)O(n2)d)O(mn)Correct answer is option 'C'. Can you explain this answer? has been provided alongside types of Let G be a graph with n vertices and m edges. What is the tightest upper bound on the running time on Depth First Search of G? Assume that the graph is represented using adjacency matrix.a)O(n)b)O(m+n)c)O(n2)d)O(mn)Correct answer is option 'C'. Can you explain this answer? theory, EduRev gives you an ample number of questions to practice Let G be a graph with n vertices and m edges. What is the tightest upper bound on the running time on Depth First Search of G? Assume that the graph is represented using adjacency matrix.a)O(n)b)O(m+n)c)O(n2)d)O(mn)Correct answer is option 'C'. Can you explain this answer? tests, examples and also practice Computer Science Engineering (CSE) tests.
Explore Courses for Computer Science Engineering (CSE) exam

Top Courses for Computer Science Engineering (CSE)

Explore Courses
Signup for Free!
Signup to see your scores go up within 7 days! Learn & Practice with 1000+ FREE Notes, Videos & Tests.
10M+ students study on EduRev