Results 1 to 10 of about 317,626 (258)
Kernel Geometric Mean Metric Learning
Applied Sciences, 2023 Geometric mean metric learning (GMML) algorithm is a novel metric learning approach proposed recently. It has many advantages such as unconstrained convex objective function, closed form solution, faster computational speed, and interpretability over ...
Zixin Feng +4 more
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Optimal two-parameter geometric and arithmetic mean bounds for the Sándor–Yang mean
Journal of Inequalities and Applications, 2019 In the article, we provide the sharp bounds for the Sándor–Yang mean in terms of certain families of the two-parameter geometric and arithmetic mean and the one-parameter geometric and harmonic means.
Wei-Mao Qian +3 more
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Two Sharp Inequalities for Power Mean, Geometric Mean, and Harmonic Mean
Journal of Inequalities and Applications, 2009 For p∈R, the power mean of order p of two positive numbers a and b is defined by Mp(a,b)=((ap+bp)/2)1/p,p≠0, and Mp(a,b)=ab, p=0.
Wei-Feng Xia, Yu-Ming Chu
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Mean Estimation on the Diagonal of Product Manifolds
Algorithms, 2022 Computing sample means on Riemannian manifolds is typically computationally costly, as exemplified by computation of the Fréchet mean, which often requires finding minimizing geodesics to each data point for each step of an iterative optimization scheme.
Mathias Højgaard Jensen, Stefan Sommer
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Uporaba srednjih mer za pojasnjevanje cen na trgu nepremičnin (= The use of mean values for reporting real estate prices) [PDF]
Geodetski Vestnik, 2021 The proper and unambiguous reporting of the real estate market is one of the main requirements for ensuring its transparency. Reporting on the prices of real estate realised on the market is a special challenge here.
Melita Ulbl, Andraž Muhič
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Joint Access Configuration and Beamforming for Cell-Free Massive MIMO Systems With Dynamic TDD
IEEE Access, 2022 We address the trade-off between system throughput and user equipment (UE) fairness in dynamic time division duplex (TDD) cell-free (CF)-massive multiple-input multiple-output (mMIMO) systems, developing to that end a joint access point (AP) access ...
Shuto Fukue +3 more
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The Multi-Objective Transportation Problem Solve with Geometric Mean and Penalty Methods
Indonesian Journal of Innovation and Applied Sciences, 2023 The traditional (classical) Transportation Problem (TP) can be viewed as a specific case of the Linear Programming (LP) problem, as well as its models are used to find the best solution for the problem of predetermined how many units of a good or service
K.P.O.Niluminda, E.M.U.S.B.Ekanayake
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Optimal convex combination bounds of geometric and Neuman means for Toader-type mean
Journal of Inequalities and Applications, 2017 In this paper, we prove that the double inequalities α N Q A ( a , b ) + ( 1 − α ) G ( a , b ) < T D [ A ( a , b ) , G ( a , b ) ] < β N Q A ( a , b ) + ( 1 − β ) G ( a , b ) , λ N A Q ( a , b ) + ( 1 − λ ) G ( a , b ) < T D [ A ( a , b ) , G ( a , b ) ]
Yue-Ying Yang, Wei-Mao Qian
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Sharp two-parameter bounds for the identric mean
Journal of Inequalities and Applications, 2018 For t∈[0,1/2] $t\in [0,1/2]$ and s≥1 $s\ge 1$, we consider the two-parameter family of means Qt,s(a,b)=Gs(ta+(1−t)b,(1−t)a+tb)A1−s(a,b), $$ Q_{t,s}(a,b)=G^{s}\bigl(ta+(1-t)b,(1-t)a+tb\bigr)A^{1-s}(a,b), $$ where A and G denote the arithmetic and ...
Omran Kouba
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Optimal bounds for arithmetic-geometric and Toader means in terms of generalized logarithmic mean
Journal of Inequalities and Applications, 2017 In this paper, we find the greatest values α 1 , α 2 $\alpha_{1},\alpha_{2}$ and the smallest values β 1 , β 2 $\beta_{1},\beta_{2}$ such that the double inequalities L α 1 ( a , b ) < AG ( a , b ) < L β 1 ( a , b ) $L_{\alpha_{1}}(a,b)0$ with a ≠ b $a ...
Qing Ding, Tiehong Zhao
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