Results 21 to 30 of about 1,414,908 (321)
Sharp bounds for Heinz mean by Heron mean and other means
In this paper, some sharp bounds for Heinz mean by Heron mean and other means are presented. Further, we point out a mistake in [1] and correct it. Finally, we extend the results to the corresponding operator means.
Ling Zhu
doaj +1 more source
Bounds on Domination Parameters in Graphs: A Brief Survey
In this paper we present a brief survey of bounds on selected domination parameters. We focus primarily on bounds on domination parameters in terms of the order and minimum degree of the graph. We present a list of open problems and conjectures that have
Henning Michael A.
doaj +1 more source
Carving Out the Space of 4D CFTs [PDF]
We introduce a new numerical algorithm based on semidefinite programming to efficiently compute bounds on operator dimensions, central charges, and OPE coefficients in 4D conformal and N=1 superconformal field theories.
Poland, David +2 more
core +3 more sources
Bounds on slow roll and the de Sitter Swampland [PDF]
The recently introduced swampland criterion for de Sitter [17] can be viewed as a (hierarchically large) bound on the smallness of the slow roll parameter đV.
Sumit K. Garg, Chethan Krishnan
semanticscholar +1 more source
Heidegger, the Given, and the Second Nature of Entities
In this paper I draw from Martin Heideggerâs phenomenology of the 1920s to outline some basic features of his theory of intentionality that I believe have not been fully appreciated or utilized, and that allow for both novel and fruitful interventions in
Bounds Graham
doaj +1 more source
New Bounds for Arithmetic Mean by the Seiffert-like Means
By using the power series of the functions 1/sinnt and cost/sinnt (n=1,2,3,4,5), and the estimation of the ratio of two adjacent Bernoulli numbers, we obtained new bounds for arithmetic mean A by the weighted arithmetic means of Mtan1/3Msin2/3 and 13Mtan+
Ling Zhu
doaj +1 more source
Non-asymptotic confidence bounds for the optimal value of a stochastic program [PDF]
We discuss a general approach to building non-asymptotic confidence bounds for stochastic optimization problems. Our principal contribution is the observation that a Sample Average Approximation of a problem supplies upper and lower bounds for the ...
Guigues, Vincent +2 more
core +5 more sources
Bounds for triple gamma functions and their ratios
In this work, in addition to the bounds for triple gamma function, bounds for the ratios of triple gamma functions are obtained. Similar bounds for the ratios of the double gamma functions are also obtained.
Sourav Das, A Swaminathan
doaj +1 more source
Single-equation conditional equilibrium correction models can be used to test for the existence of a level relationship among the variables of interest.
Sebastian Kripfganz, D. Schneider
semanticscholar +1 more source
Error bounds for approximations with deep ReLU neural networks in $W^{s, p}$ norms [PDF]
We analyze to what extent deep Rectified Linear Unit (ReLU) neural networks can efficiently approximate Sobolev regular functions if the approximation error is measured with respect to weaker Sobolev norms.
Ingo GĂźhring +2 more
semanticscholar +1 more source

