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Domination Theory with Neighborhood Parameters

von Dhivya T
Über Domination Theory with Neighborhood Parameters

Mathematics acts an important role in many aspects of fields. Graph theory, which will be applied in structural models, is an important area of mathematics. This structural arrangement of various things or techniques leads to new creations and improvements to the current order to enhance these areas. Graph theory is that part of Discrete Mathematics that has a large amount of application in real-life situations like facility locational problems, science and technology, and communication networks. Graph Theory is a great place to learn about methodologies in discrete mathematics, and the results have applications in a variety of fields including computing, social science, and natural data analysis. In both pure and applied mathematics, the last 50 years have seen a barrage of effort in graph theory. A graph is a set of nodes connected by links. A graph is a set of points with lines connecting them. The vertices and edges of a graph are also known as points and lines, respectively. The vertex set is denoted as ¿¿¿¿(¿¿¿¿), and the edge set is denoted as ¿¿¿¿(¿¿¿¿). Every branch of mathematics requires some kind of product concept to allow the combination or breakdown of its fundamental structures. The graph product is a relatively new concept in graph theory that is growing fast. Human genetics, a dynamic location problem, and networks are just a few examples of where graph products are used. Products are frequently seen as a convenient language for describing structures, but they are increasingly being used in more significant ways.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9781805454779
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 138
  • Veröffentlicht:
  • 13. Januar 2023
  • Abmessungen:
  • 152x8x229 mm.
  • Gewicht:
  • 212 g.
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Beschreibung von Domination Theory with Neighborhood Parameters

Mathematics acts an important role in many aspects of fields. Graph theory, which will be applied in structural models, is an important area of mathematics. This structural arrangement of various things or techniques leads to new creations and improvements to the current order to enhance these areas. Graph theory is that part of Discrete Mathematics that has a large amount of application in real-life situations like facility locational problems, science and technology, and communication networks.
Graph Theory is a great place to learn about methodologies in discrete mathematics, and the results have applications in a variety of fields including computing, social science, and natural data analysis. In both pure and applied mathematics, the last 50 years have seen a barrage of effort in graph theory.
A graph is a set of nodes connected by links. A graph is a set of points with lines connecting them. The vertices and edges of a graph are also known as points and lines, respectively. The vertex set is denoted as ¿¿¿¿(¿¿¿¿), and the edge set is denoted as ¿¿¿¿(¿¿¿¿).
Every branch of mathematics requires some kind of product concept to allow the combination or breakdown of its fundamental structures. The graph product is a relatively new concept in graph theory that is growing fast. Human genetics, a dynamic location problem, and networks are just a few examples of where graph products are used. Products are frequently seen as a convenient language for describing structures, but they are increasingly being used in more significant ways.

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