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Academic literature on the topic 'Reciprocal downhill product connectivity index'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Reciprocal downhill product connectivity index"

1

V.R., Kulli. "Downhill Product Connectivity Indices of Graphs." International Journal of Mathematics and Computer Research 13 (May 21, 2025): 5223–26. https://doi.org/10.5281/zenodo.15481118.

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In this study, we introduce the downhill product connectivity index and reciprocal downhill product connectivity index and their corresponding exponentials of a graph. Furthermore, we compute these indices for some standard graphs, wheel graphs.
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2

V.R.Kulli. "Some Multiplicative Temperature Indices of HC5C7 [p, q] Nanotubes." International Journal of Fuzzy Mathematical Archive 17, no. 02 (2019): 91–98. http://dx.doi.org/10.22457/206ijfma.v17n2a4.

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In Chemical Science, connectivity indices are applied to measure the chemical characteristics of chemical compounds. In this paper, we compute the multiplicative first and second temperature indices, multiplicative first and second hyper temperature indices, multiplicative sum connectivity temperature index, multiplicative product connectivity temperature index, reciprocal multiplicative product temperature index, general multiplicative first and second temperature indices, multiplicative atom bond connectivity temperature index, multiplicative geometric-arithmetic temperature index, multiplic
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3

Zhang, Ying-Fang, Muhammad Usman Ghani, Faisal Sultan, Mustafa Inc, and Murat Cancan. "Connecting SiO4 in Silicate and Silicate Chain Networks to Compute Kulli Temperature Indices." Molecules 27, no. 21 (2022): 7533. http://dx.doi.org/10.3390/molecules27217533.

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A topological index is a numerical parameter that is derived mathematically from a graph structure. In chemical graph theory, these indices are used to quantify the chemical properties of chemical compounds. We compute the first and second temperature, hyper temperature indices, the sum connectivity temperature index, the product connectivity temperature index, the reciprocal product connectivity temperature index and the F temperature index of a molecular graph silicate network and silicate chain network. Furthermore, a QSPR study of the key topological indices is provided, and it is demonstr
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4

Kanwal, Salma, Mariam Imtiaz, Ayesha Manzoor, Nazeeran Idrees, and Ammara Afzal. "Certain topological indices and polynomials for the semitotal-point graph and line graph of semitotal-point graph for Dutch windmill graph." Indonesian Journal of Combinatorics 3, no. 2 (2020): 63. http://dx.doi.org/10.19184/ijc.2019.3.2.1.

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<p>Dutch windmill graph [1, 2] and denoted by <em>Dnm</em>. Order and size of Dutch windmill graph are (<em>n</em>−1)<em>m</em>+1 and mn respectively. In this paper, we computed certain topological indices and polynomials i.e. Zagreb polynomials, hyper Zagreb, Redefined Zagreb indices, modified first Zagreb, Reduced second Zagreb, Reduced Reciprocal Randi´c, 1st Gourava index, 2nd Gourava index, 1st hyper Gourava index, 2nd hyper Gourava index, Product connectivity Gourava index, Sum connectivity Gourava index, Forgotten index, Forgotten polynomials, &
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5

Alsulami, Samirah, Sabir Hussain, Farkhanda Afzal, Mohammad Reza Farahani, and Deeba Afzal. "Topological Properties of Degree-Based Invariants via M-Polynomial Approach." Journal of Mathematics 2022 (March 16, 2022): 1–8. http://dx.doi.org/10.1155/2022/7120094.

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Chemical graph theory provides a link between molecular properties and a molecular graph. The M-polynomial is emerging as an efficient tool to recover the degree-based topological indices in chemical graph theory. In this work, we give the closed formulas of redefined first and second Zagreb indices, modified first Zagreb index, nano-Zagreb index, second hyper-Zagreb index, Randić index, reciprocal Randić index, first Gourava index, and product connectivity Gourava index via M-polynomial. We also present the M-polynomial of silicate network and then closed formulas of topological indices are a
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6

Ghan, Muhammad Usman, Faisal Sultan, Shahbaz Ali, Moahmmad Reza Farahani, Murat Cancan, and Mehdi Alaeiyan. "Ghani Mersenne Temperature Indices For Silicate Network and Silicate Chain Network." Archives des Sciences 74, no. 4 (2024): 52–56. http://dx.doi.org/10.62227/as/74408.

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One of chemistry’s most fundamental ideas is the chemical bond. It explains why chemical reactions take place or why atoms are drawn to one another. Several features of chemical compounds in a molecular structure can be identified using the mathematical language offered by several types of topological indices. In actuality, a topological index links the molecular structure of chemical compounds to some of its physical characteristics, such as boiling point and stability energy. Such an index specifies the topology of the structure and is an invariant understructure that maintains mappings. It
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7

Khan, Abdul Rauf, Zafar Ullah, Muhammad Imran, Sidra Aziz Malik, Lamis M. Alamoudi, and Murat Cancan. "Molecular temperature descriptors as a novel approach for QSPR analysis of Borophene nanosheets." PLOS ONE 19, no. 6 (2024): e0302157. http://dx.doi.org/10.1371/journal.pone.0302157.

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Borophene nanosheets appear in various sizes and shapes, ranging from simple planar structures to complicated polyhedral formations. Due to their unique chemical, optical, and electrical properties, Borophene nanosheets are theoretically and practically attractive and because of their high thermal conductivity, boron nanosheets are suitable for efficient heat transmission applications. In this paper, temperature indices of borophene nanosheets are computed and these indices are employed in QSPR analysis of attributes like Young’s modulus, Shear modulus, and Poisson’s ratio of borophene nanoshe
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8

Kulli, V. R. "Downhill Product Connectivity Indices of Graphs." International Journal of Mathematics And Computer Research 13, no. 05 (2025). https://doi.org/10.47191/ijmcr/v13i5.12.

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Abstract:
In this study, we introduce the downhill product connectivity index and reciprocal downhill product connectivity index and their corresponding exponentials of a graph. Furthermore, we compute these indices for some standard graphs, wheel graphs.
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9

Hayat, Sakander, Muhammad Yasir Hayat Malik, and Saima Fazal. "Novel Temperature-Based Topological Indices for Certain Convex Polytopes." Contemporary Mathematics, October 24, 2024, 4614–50. http://dx.doi.org/10.37256/cm.5420245404.

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A topological index is a number that assists in understanding various physical characteristics, chemical reactivities, and boiling activities of a chemical compound by characterizing the whole molecular graph structure. These indices are essential for quantifying different chemical properties of chemical compounds in chemical graph theory. The choice of convex polytopes in this work is an important feature due to its structural adaptability, easy accessibility and astonishing capacity to identify its numerical values. In this paper, we present exact analytical expressions for the general first
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10

Hayat, Sakander, та Jia-Bao Liu. "Comparative analysis of temperature-based graphical indices for correlating the total π-electron energy of benzenoid hydrocarbons". International Journal of Modern Physics B, 25 березня 2024. http://dx.doi.org/10.1142/s021797922550047x.

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In a graph [Formula: see text], the temperature [Formula: see text] of a vertex [Formula: see text] is defined as [Formula: see text], where n is the order of G and [Formula: see text] is the valency/degree of x. A topological/graphical index [Formula: see text] is a map [Formula: see text], where ∑ (respectively, [Formula: see text]) is the set of simple connected graphs (respectively, real numbers). Graphical indices are employed in quantitative structure-property relationship (QSPR) modeling to predict physicochemical/thermodynamic/biological characteristics of a compound. A temperature-bas
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