Results 11 to 20 of about 14,310 (235)
Bounds for the Neuman–Sándor Mean in Terms of the Arithmetic and Contra-Harmonic Means [PDF]
Axioms, 2022 In this paper, the authors provide several sharp upper and lower bounds for the Neuman–Sándor mean in terms of the arithmetic and contra-harmonic means, and present some new sharp inequalities involving hyperbolic sine function and hyperbolic cosine ...
Wen-Hui Li, Peng Miao, Bai-Ni Guo
doaj +5 more sources
Sharp inequalities for the Neuman-Sandor mean in terms of arithmetic and contra-harmonic means
Journal of Numerical Analysis and Approximation Theory, 2013 In this paper, we find the greatest values \(\alpha\) and \(\lambda\), and the least values \(\beta\) and \(\mu\) such that the double inequalities \[C^{\alpha}(a,b)A^{1-\alpha}(a,b)
Yu-Ming Chu, Miao-Kun Wang, Bao-Yu Liu
doaj +11 more sources
European Journal of Pure and Applied Mathematics, 2022 We verify the optimal inequalities between generalized logarithmic mean and the weighted arithmetic mean of contra-harmonic and harmonic means.
Annop Sonubon +2 more
exaly +5 more sources
Sharp bounds for the Sándor–Yang means in terms of arithmetic and contra-harmonic means [PDF]
Journal of Inequalities and Applications, 2018 In the article, we provide several sharp upper and lower bounds for two Sándor–Yang means in terms of combinations of arithmetic and contra-harmonic means.
Hui-Zuo Xu, Yu-Ming Chu, Wei-Mao Qian
doaj +5 more sources
Harmonic Mean and Contra-Harmonic Mean Derivative-Based Closed Newton-Cotes Quadrature
Integrated Journal for Research in Arts and Humanities, 2022 The operations of conveyed information across the Internet have soar exponentially over the past two decades. Image compression is a significant approach to shrink an image. JPEG is the core prevailing still image compression for bandwidth preservation. So images could be ensued and transmitted earlier.
Kaushal Rana
exaly +5 more sources
A new method using the Forward Backward technique with Contra Harmonic mean formula [PDF]
Journal of Physics: Conference Series, 2021 AbstractWe introduce a new method for solving Initial Value Problems (IVPs) in Ordinary Differential Equations (ODEs), by making a mixing between the Forward (Predictor) – Backward (Corrector) technique and used it in the Contra Harmonic mean formula, this new method give us a parallelism in numerical calculations and it is more accurate than the old ...
Mahmood D. Jasim
openalex +2 more sources
Seven Means, Generalized Triangular Discrimination, and Generating Divergence Measures [PDF]
Information, 2013 Jensen-Shannon, J-divergence and Arithmetic-Geometric mean divergences are three classical divergence measures known in the information theory and statistics literature.
Inder Jeet Taneja
doaj +4 more sources
Contra Harmonic Mean Labelling of Graphs
Mapana - Journal of Sciences, 2013 A graph labelling is an assignment of integers to the vertices or edges or both subject to certain conditions. A Graph G(V, E) with p vertices and q edges is called a Contra Harmonic mean graph if it is possible to label all the vertices x ∈ V with distinct labels f(x) from {1, 2, 3, 4, …., p } in such a way that each edge e = uv is labelled with
Raghavan Narasimhan
openalex +2 more sources
Optimal Bounds of the Arithmetic Mean by Harmonic, Contra-harmonic and New Seiffert-like Means
Asian Research Journal of Mathematics, 2020 We provide the optimal bounds for the arithmetic mean in terms of harmonic, contra-harmonic and new Seiffert-like means.
Hui-Zuo Xu, Wei-Mao Qian
openalex +3 more sources
Radio Contra Harmonic Mean Number of Graphs [PDF]
Indian Journal Of Science And TechnologyObjectives: To explore the least upper bound of graphs by radio contra harmonic labeling. Methods: Contra harmonic mean function or , radio mean labeling condition and radio harmonic mean labeling are used. Findings: Here we introduce radio contra harmonic mean labeling and its least upper bound, designated as radio contra harmonic mean number, by ...
T S Ashika, S Asha
openalex +2 more sources