Degree Subtraction Adjacency Eigenvalues and Energy of Graphs Obtained From Regular Graphs

ODAM-Vol. 1 (2018), Issue 1, pp. 08–15 | Open Access Full-Text PDF
Harishchandra S. Ramane, Hemaraddi N. Maraddi
Abstract:Let \(V(G) = \{v_1, v_2, \ldots, v_n\}\) be the vertex set of \(G\) and let \(d_{G}(v_i)\) be the degree of a vertex \(v_i\) in \(G\). The degree subtraction adjacency matrix of \(G\) is a square matrix \(DSA(G)=[d_{ij}]\), in which \(d_{ij}=d_{G}(v_i)-d_{G}(v_j)\), if \(v_i\) is adjacent to \(v_j\) and \(d_{ij}=0\), otherwise. In this paper we express the eigenvalues of the degree subtraction adjacency matrix of subdivision graph, semitotal point graph, semitotal line graph and total graph of a regular graph in terms of the adjacency eigenvalues of \(G\). Further we obtain the degree subtraction adjacency energy of these graphs.
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Some Numerical Invariants Associated with V-phenylenic Nanotube and Nanotori

EASL-Vol. 1 (2018), Issue 1, pp. 01–09 | Open Access Full-Text PDF
Rachanna Kanabur, Sunilkumar Hosamani
Abstract:A carbon nanotube (CNT) is a miniature cylindrical carbon structure that has hexagonal graphite molecules attached at the edges. In this paper, we compute the numerical invariant (Topological indices) of linear [n]-phenylenic, lattice of \(C_{4}C_{6}C_{8}[m, n]\), \(TUC_{4}C_{6}C_{8}[m, n]\) nanotube, \(C_{4}C_{6}C_{8}[m, n]\) nanotori.
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Effect of Magnetic Field on Double Convection Flow of Viscous Fluid over a Moving Vertical Plate with Constant Temperature and General Concentration by using New Trend of Fractional Derivative

OMS-Vol. 2 (2018), Issue 1, pp. 253–265 Open Access Full-Text PDF
Nehad Ali Shah, Ahmad Hajizadeh, Muhammad Zeb, Sohail Ahmad, Yasir Mahsud, Isaac Lare Animasaun
Abstract:This article presents, effects of fractional order derivative and magnetic field on double convection flow of viscous fluid over a moving vertical plate with constant temperature and general concentration. The model is fractionalized by using Caputo-Fabrizio derivative operator. Closed form solutions of the fluid velocity, concentration and temperature are obtained by means of the Laplace transform. Numerical computations and graphical illustrations are used in order to study the effects of the Caputo-Fabrizio time-fractional parameter , magnetic parameter , Prandtl and Grashof numbers on velocity field.
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A Note on the Zeroth-order General Randić Index of Polygonal Cacti

ODAM-Vol. 1 (2018), Issue 1, pp. 01–07 | Open Access Full-Text PDF
Jiachang Ye, Yuedan Yao
Abstract:The zeroth-order general Randić index of a simple connected graph G is defined as \(R_{\alpha}^{0}(G)=\sum_{u\in V(G)} \big(d(u)\big)^{\alpha}\), where \(d(u)\) is the degree of \(u\) and \(\alpha\not\in \{0,1\}\) is a real number. A \(k\)-polygonal cactus is a connected graph in which every edge lies in exactly one cycle of length \(k\). In this paper, we present the extremal \(k\)-polygonal cactus with \(n\) cycles for \(k\geq3\) with respect to the zeroth-order general Randić index.
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Viscosity methods for approximating solutions of variational inequalities for asymptotically nonexpansive mappings

OMA-Vol. 2 (2018), Issue 2, pp. 27–40 | Open Access Full-Text PDF
Muhammad Akmal, Muhammad Saqib Khan, Shahzad Ahmad Maitla
Abstract:The aim of this paper is to present a viscosity approximation method for asymptotically nonexpansive mappings in Banach spaces. The strong convergence of the viscosity rules is proved with some assumptions. This paper extend and improve results presented in [1, 2, 3, 4].
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The study of honey comb derived network via topological indices

OMA-Vol. 2 (2018), Issue 2, pp. 10–26 | Open Access Full-Text PDF
Wei Gao, Muhammad Asif, Waqas Nazeer
Abstract:Chemical reaction network theory is an area of applied mathematics that attempts to model the behavior of real world chemical systems. Since its foundation in the 1960s, it has attracted a growing research community, mainly due to its applications in biochemistry and theoretical chemistry. It has also attracted interest from pure mathematicians due to the interesting problems that arise from the mathematical structures involved. In this report, we compute newly defined topological indices, namely, Arithmetic-Geometric index (\(AG_{1}\) index), \(SK\) index, \(SK_{1}\) index, and \(SK_{2}\) index of the Honey Comb Derived Networks. We also compute sum connectivity index and modified Randić index. Moreover we give geometric comparison of our results.
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Oscillatory Behavior of Second Order Nonlinear Difference Equations with a Non-Positive Neutral Term

OMS-Vol. 2 (2018), Issue 1, pp. 240–252 Open Access Full-Text PDF
Said R. Grace, Shurong Sun, Limei Feng, Ying Sui
Abstract:We shall present new oscillation criteria of second order nonlinear difference equations with a non-positive neutral term of the form \(\Delta(a(t)(\Delta(x(t)-p(t)x(t-k)))^{\gamma})+q(t)x^{\beta}(t+1-m)=0,\) with positive coefficients. Examples are given to illustrate the main results.
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The Weighted Square Integral Inequalities for Smooth and Weak Subsolution of Fourth Order Laplace Equation

OMS-Vol. 2 (2018), Issue 1, pp. 228–239 Open Access Full-Text PDF
Muhammad Shoaib Saleem, J. Pečarič, Mubeen Munir, Asghar Ali, Muhammad Shahid Iqbal Tubssam
Abstract:In this work we develop the weighted square integral estimates for the second derivatives of weak subsolution of forth order Laplace equation. It is natural generalization of inequalities develop for the Superharmonic functions in [1].
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Ontology Similarity Computing Based on Stochastic Primal Dual Coordinate Technique

OMS-Vol. 2 (2018), Issue 1, pp. 221–227 Open Access Full-Text PDF
Guoshun Liu, Zhiyang Jia, Wei Gao
Abstract:With the extensive application of ontology in the fields of information retrieval and artificial intelligence, the ontology-based conceptual similarity calculation becomes a hot topic in ontology research. The essence of ontology learning is to obtain the ontology function through the learning of ontology samples, so as to map the vertices in each ontology graph into real numbers, and finally determine the similarity between corresponding concepts by the difference between real numbers. The essence of ontology mapping is to calculate concepts from different ontologies. In this paper, we introduce new ontology similarity computing in view of stochastic primal dual coordinate method, and two experiments show the effectiveness of our proposed ontology algorithm.
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New iterative methods using variational iteration technique and their dynamical behavior

OMA-Vol. 2 (2018), Issue 2, pp. 01–09 | Open Access Full-Text PDF
Muhammad Nawaz, Amir Naseem, Waqas Nazeer
Abstract:The aim of this paper is to present new sixth order iterative methods for solving non-linear equations. The derivation of these methods is purely based on variational iteration technique. Our methods are verified by means of various test examples and numerical results show that our developed methods are more effective with respect to the previously well known methods.
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