scholarly journals New sharp bounds for logarithmic mean and identric mean

Author(s):  
Zhen-Hang Yang
2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Wei-Mao Qian ◽  
Bo-Yong Long

We present sharp upper and lower generalized logarithmic mean bounds for the geometric weighted mean of the geometric and harmonic means.


1998 ◽  
Vol 29 (4) ◽  
pp. 287-292
Author(s):  
S. S. DRAGOMIR ◽  
I. FEDOTOV

In this paper we derive a new inequality ofGruss' type for Riemann-Stieltjes integral and apply it for special means (logarithmic mean, identric mean, etc·. ·).


1999 ◽  
Vol 30 (1) ◽  
pp. 53-58
Author(s):  
SEVER SILVESTRU DRAGOMIR

An estimation of remamder for Simpson's quadrature formula for mappings of bounded variation and applications in theory of special means (logarithmic mean, identric mean, etc ...)  are given.


2011 ◽  
pp. 301-306 ◽  
Author(s):  
Ye-Fang Qiu ◽  
Miao-Kun Wang ◽  
Yuming Chu ◽  
Gendi Wang

Author(s):  
Feng Qi ◽  
Dongkyu Lim

In the paper, the authors survey integral representations (including the Lévy--Khintchine representations) and applications of some bivariate means (including the logarithmic mean, the identric mean, Stolarsky's mean, the harmonic mean, the (weighted) geometric means and their reciprocals, and the Toader--Qi mean) and the multivariate (weighted) geometric means and their reciprocals, derive integral representations of bivariate complex geometric mean and its reciprocal, and apply these newly-derived integral representations to establish integral representations of Heronian mean of power 2 and its reciprocal.


2000 ◽  
Vol 31 (3) ◽  
pp. 193-202
Author(s):  
S. S. Dragomir ◽  
A. Mcandrew

In this paper, we point out a Gr"uss type inequality and apply it for special means (logarithmic mean, identric mean etc ...) and in Numerical analysis in connection with the classical trapezoid formula.


2010 ◽  
Vol 35 (4) ◽  
pp. 543-550 ◽  
Author(s):  
Wojciech Batko ◽  
Bartosz Przysucha

AbstractAssessment of several noise indicators are determined by the logarithmic mean <img src="/fulltext-image.asp?format=htmlnonpaginated&src=P42524002G141TV8_html\05_paper.gif" alt=""/>, from the sum of independent random resultsL1;L2; : : : ;Lnof the sound level, being under testing. The estimation of uncertainty of such averaging requires knowledge of probability distribution of the function form of their calculations. The developed solution, leading to the recurrent determination of the probability distribution function for the estimation of the mean value of noise levels and its variance, is shown in this paper.


Sign in / Sign up

Export Citation Format

Share Document