Results 31 to 40 of about 952,320 (325)

A general automatic method for optimal construction of matrix product operators using bipartite graph theory. [PDF]

open access: yesJournal of Chemical Physics, 2020
Constructing matrix product operators (MPOs) is at the core of the modern density matrix renormalization group (DMRG) and its time dependent formulation.
Jiajun Ren   +3 more
semanticscholar   +1 more source

The Dominant Metric Dimension of Corona Product Graphs

open access: yesمجلة بغداد للعلوم, 2021
The metric dimension and dominating set are the concept of graph theory that can be developed in terms of the concept and its application in graph operations.
Rembulan Putri Adirasari   +2 more
doaj   +1 more source

On the VC-dimension‎, ‎covering and separating properties of the cycle and spanning tree hypergraphs of graphs [PDF]

open access: yesTransactions on Combinatorics, 2022
In this paper‎, ‎we delve into studying some relations between the structure of the cycles and spanning trees of a graph through the lens of its cycle and spanning tree hypergraphs which are hypergraphs with the edge set of the graph as their vertices ...
Alireza Mofidi
doaj   +1 more source

Fault-Tolerant Partition Resolvability of Cyclic Networks

open access: yesJournal of Mathematics, 2021
Graph invariants provide an amazing tool to analyze the abstract structures of networks. The interaction and interconnection between devices, sensors, and service providers have opened the door for an eruption of mobile over the web applications ...
Kamran Azhar   +3 more
doaj   +1 more source

Star metric dimension of complete, bipartite, complete bipartite and fan graphs

open access: yesInternational Journal of Trends in Mathematics Education Research, 2022
One of the topics in graph theory that is interesting and developed continuously is metric dimension.  It has some new variation concepts, such as star metric dimension.
Reni Umilasari   +2 more
doaj   +1 more source

Dimensi Metrik Kuat Lokal Graf Hasil Operasi Kali Kartesian

open access: yesContemporary Mathematics and Applications (ConMathA), 2020
The strong local metric dimension is the development result of a strong metric dimension study, one of the study topics in graph theory. Some of graphs that have been discovered about strong local metric dimension are path graph, star graph, complete ...
Nurma Ariska Sutardji   +2 more
doaj   +1 more source

Comparative Study of Prism Octahedron Network via Eccentric Invariants

open access: yesJournal of Chemistry, 2023
Topological indices are empirical features of graphs that characterize the topology of the graph and, for the most part, are graph independent. An important branch of graph theory is chemical graph theory.
Haidar Ali   +5 more
doaj   +1 more source

On the Dominant Local Resolving Set of Vertex Amalgamation Graphs

open access: yesCauchy: Jurnal Matematika Murni dan Aplikasi, 2023
Basically, the new topic of the dominant local metric dimension which be symbolized by Ddim_l (H) is a combination of two concepts in graph theory, they were called the local metric dimension and dominating set. There are some terms in this topic that is
Reni Umilasari   +3 more
doaj   +1 more source

On the Edge Metric Dimension of Certain Polyphenyl Chains

open access: yesJournal of Chemistry, 2021
The most productive application of graph theory in chemistry is the representation of molecules by the graphs, where vertices and edges of graphs are the atoms and valence bonds between a pair of atoms, respectively.
Muhammad Ahsan   +5 more
doaj   +1 more source

Complex Network Characterization Using Graph Theory and Fractal Geometry: The Case Study of Lung Cancer DNA Sequences

open access: yesApplied Sciences, 2020
This paper discusses an approach developed for exploiting the local elementary movements of evolution to study complex networks in terms of shared common embedding and, consequently, shared fractal properties. This approach can be useful for the analysis
M. Babič, J. Mihelic, M. Calì
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy