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GFD analysis for BRE zeolite graph through reverse degree and reverse neighborhood degree based topological descriptors. [PDF]
Yogalakshmi K +4 more
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Machine learning-assisted high-speed combinatorial optimization with Ising machines for dynamically changing problems. [PDF]
Hamakawa Y +3 more
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Engineering and Applying Quantum Contextuality. [PDF]
Pavičić M.
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S-shaped Utility Maximization with VaR Constraint and Partial Information. [PDF]
Zhu D, Davey A, Zheng H.
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Applications of Graph Theory in Computer Science
2011 Third International Conference on Computational Intelligence, Communication Systems and Networks, 2011Graphs are among the most ubiquitous models of both natural and human-made structures. They can be used to model many types of relations and process dynamics in computer science, physical, biological and social systems. Many problems of practical interest can be represented by graphs. In general graphs theory has a wide range of applications in diverse
Ferozuddin Riaz, Khidir M. Ali
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Some applications of graph theory to clustering
Psychometrika, 1974This paper attempts to review and expand upon the relationship between graph theory and the clustering of a set of objects. Several graphtheoretic criteria are proposed for use within a general clustering paradigm as a means of developing procedures “in between” the extremes of complete-link and single-link hierarchical partitioning; these same ideas ...
Lawrence J Hubert, Hubert Lawrence J
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An approach to neutrosophic graph theory with applications
Soft Computing, 2017Graph theory that can be used to describe the relationships among several individuals has numerous applications in diverse fields such as modern sciences and technology, database theory, data mining, neural networks, expert systems, cluster analysis, control theory, and image capturing. As a generalization of fuzzy set (FS) and intuitionistic fuzzy set
Ridvan Şahin
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Applications of graph theory in computer systems
International Journal of Computer & Information Sciences, 1976Many problem situations in computer systems can be analyzed using models based on directed graphs. The vertices of the graph represent states of the system and the directed arcs represent the transitions between these states. This paper is in two parts.
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