Study on non-Split Restrained Domination and Average Distance

CHF 67.15
Auf Lager
SKU
RR2QKSDN2S3
Stock 1 Verfügbar
Geliefert zwischen Fr., 27.02.2026 und Mo., 02.03.2026

Details

Graphs are very convenient tools for representing the relationships among objects, which are represented by vertices. In their turn, relationships among vertices are represented by connections. In general, any mathematical object involving points and connections among them can be called a graph. Graphs are really important and probably, they are more important than we think. Graphs are among the most ubiquitous models of both natural and human made structures and Graph theory is one of the most developing branches of Mathematics with wide applications to computer science. Graph theory is applied in diverse areas such as social sciences, linguistics, physical sciences, communication engineering, networks and others. Graph theory also place an important role in several areas of computer science, such as switching theory and logic design, artificial intelligence, formal languages, computer graphics, operating system, compiler writing and information organization and retrieval. Graph theory, especially trees and binary trees are used widely in the representation of data structures.

Autorentext

Dr. A. Sudhakaraiah is M.Sc. in Mathematics in 1999, he was awarded Ph.D. in Graph theory by S.V. University in 2003. Presently, he is working as Associate Professor in Dept. of Mathematics, S.V. University.Dr. K. Ramakrishna is M.Sc. in Mathematics in 2012, he was awarded Ph.D. in Graph theory by S.V. University in 2017.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Anzahl Seiten 124
    • Herausgeber Scholars' Press
    • Gewicht 203g
    • Untertitel Average Distance of Interval Graphs with Algorithms An Overt Study on Domination Numbers, NonSplit Restrained Domination
    • Autor Anupalli Sudhakaraiah , Kadadasari Ramakrishna
    • Titel Study on non-Split Restrained Domination and Average Distance
    • Veröffentlichung 18.03.2021
    • ISBN 6138948807
    • Format Kartonierter Einband
    • EAN 9786138948803
    • Jahr 2021
    • Größe H220mm x B150mm x T9mm
    • GTIN 09786138948803

Bewertungen

Schreiben Sie eine Bewertung
Nur registrierte Benutzer können Bewertungen schreiben. Bitte loggen Sie sich ein oder erstellen Sie ein Konto.
Made with ♥ in Switzerland | ©2025 Avento by Gametime AG
Gametime AG | Hohlstrasse 216 | 8004 Zürich | Schweiz | UID: CHE-112.967.470
Kundenservice: customerservice@avento.shop | Tel: +41 44 248 38 38