Results 71 to 80 of about 251,801 (209)
Some degree-based topological indices and (normalized Laplacian) energy of graphs [PDF]
Discrete Mathematics Letters, 2022 Zimo Yan, Xie Zheng, Jianping Li
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Experimental and bond graph based sensitivity calculations for micro-scale robust engineering design [PDF]
, 2005 Copyright @ 2005 IEEEBond graph modeling and sensitivity analysis are used to provide a platform for the robust design of a small mechatronic device, a behind-the-ear (BTE) hearing aid.
Wynn, HP +5 more
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Relations between ordinary energy and energy of a self-loop graph
HeliyonLet G be a graph on n vertices with vertex set V(G) and let S⊆V(G) with |S|=α. Denote by GS, the graph obtained from G by adding a self-loop at each of the vertices in S.
B.R. Rakshith +3 more
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Design of Control Structure for Integrated Process Networks Based on Graph-theoretic Analysis
Chemical Engineering Transactions, 2017 A novel graph representation is developed to address the control structure selection of the process networks featuring multiple scale material and energy dynamics, which is a combination of the process flow graph and energy flow graph so that both the ...
L. Kang, Y. Liu
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On energy, Laplacian energy and p-fold graphs
Electronic Journal of Graph Theory and Applications, 2015 Summary: For a graph \(G\) having adjacency spectrum \((A\)-spectrum) \( \lambda_n\leq\lambda_{n-1}\leq\cdots\leq\lambda_1\) and Laplacian spectrum \((L\)-spectrum) \(0=\mu_n\leq\mu_{n-1}\leq\cdots\leq\mu_1\), the energy is defined as \(E(G)=\sum_{i=1}^n|\lambda_i|\) and the Laplacian energy is defined as \(LE(G)=\sum_{i=1}^n|\mu_i-\frac{2m}{n}|\).
Hilal A. Ganie +2 more
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Some improved bounds on two energy-like invariants of some derived graphs
Open Mathematics, 2019 Given a simple graph G, its Laplacian-energy-like invariant LEL(G) and incidence energy IE(G) are the sum of square root of its all Laplacian eigenvalues and signless Laplacian eigenvalues, respectively. This paper obtains some improved bounds on LEL and
Cui Shu-Yu, Tian Gui-Xian
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Energy-weighted message passing: an infra-red and collinear safe graph neural network algorithm
, 2022 Hadronic signals of new-physics origin at the Large Hadron Collider can remain hidden within the copiously produced hadronic jets. Unveiling such signatures require highly performant deep-learning algorithms. We construct a class of Graph Neural Networks
Ngairangbam, Vishal S. +2 more
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The Sum-Eccentricity Energy of A Graph [PDF]
, 2017 In this paper, we introduce the concept of the sum-eccentricity matrix of a graph and obtain some coefficients of the characteristic polynomial of the sum-eccentricity matrix of . We also introduce the sum-eccentricity energy of a graph .
, Mohammad Issa Sowaity, B. Sharada
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Centrosymmetric graphs and a lower bound for graph energy of fullerenes
Discussiones Mathematicae Graph Theory, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ali Reza Ashrafi +2 more
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, 2009 The discovery of drugs that can effectively treat disease and alleviate pain is one of the core challenges facing modern medicine. The tools and techniques of machine learning have perhaps the greatest potential to provide a fast and efficient route ...
Demco, Anthony A, Demco, Anthony A.
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