This paper is published in Volume-3, Issue-3, 2017
Area
Mathematics
Author
Sanjay Kumar Bisen, Dr. Arivnd Kumar Yadav
Org/Univ
PG Government College, Datia, Madhya Pradesh, India
Keywords
Direct Graph, Simple Graph, Graph Node, Edge, Path, Cycle, Circuits
Citations
IEEE
Sanjay Kumar Bisen, Dr. Arivnd Kumar Yadav. Application of Graph Theory in Matrix Representation, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sanjay Kumar Bisen, Dr. Arivnd Kumar Yadav (2017). Application of Graph Theory in Matrix Representation. International Journal of Advance Research, Ideas and Innovations in Technology, 3(3) www.IJARIIT.com.
MLA
Sanjay Kumar Bisen, Dr. Arivnd Kumar Yadav. "Application of Graph Theory in Matrix Representation." International Journal of Advance Research, Ideas and Innovations in Technology 3.3 (2017). www.IJARIIT.com.
Sanjay Kumar Bisen, Dr. Arivnd Kumar Yadav. Application of Graph Theory in Matrix Representation, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sanjay Kumar Bisen, Dr. Arivnd Kumar Yadav (2017). Application of Graph Theory in Matrix Representation. International Journal of Advance Research, Ideas and Innovations in Technology, 3(3) www.IJARIIT.com.
MLA
Sanjay Kumar Bisen, Dr. Arivnd Kumar Yadav. "Application of Graph Theory in Matrix Representation." International Journal of Advance Research, Ideas and Innovations in Technology 3.3 (2017). www.IJARIIT.com.
Abstract
Graph is completely determined by specifying either its adjacency structure or its incidence structure. These specifications provide for more efficient ways of representing a large or complicated graph then a pictorial representation. As computers are more adept at manipulating numbers than at recognizing picture. It is standard practice to communicate the specification of a graph to a computer in matrix.