Results 21 to 30 of about 14,223 (121)

Sharp inequalities for the Neuman-Sandor mean in terms of arithmetic and contra-harmonic means

open access: yesJournal 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   +2 more sources

Reduced dimension modeling of leading edge turbulent interaction noise [PDF]

open access: yes, 2014
A computational aeroacoustics approach is used to model the effects of real airfoil geometry on leading edge turbulent interaction noise for symmetric airfoils at zero angle of attack.
Bailly C.   +5 more
core   +1 more source

Unidirectional Amplification and Shaping of Optical Pulses by Three-Wave Mixing with Negative Phonons

open access: yes, 2013
A possibility to greatly enhance frequency-conversion efficiency of stimulated Raman scattering is shown by making use of extraordinary properties of three-wave mixing of ordinary and backward waves.
Myslivets, Sergey A.   +3 more
core   +1 more source

Radio Contra Harmonic Mean Number of Graphs

open access: yesIndian Journal Of Science And Technology
Objectives: 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
openaire   +2 more sources

Long-range gravitational-like interaction in a neutral atomic cold gas

open access: yes, 2013
A quasi-resonant laser induces a long-range attractive force within a cloud of cold atoms. We take advantage of this force to build in the laboratory a system of particles with a one-dimensional gravitational-like interaction, at a fluid level of ...
A. Olivetti   +11 more
core   +1 more source

Contra Harmonic Mean Labelling of Graphs

open access: yesMapana - 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
openaire   +1 more source

Displaced path integral formulation for the momentum distribution of quantum particles

open access: yes, 2010
The proton momentum distribution, accessible by deep inelastic neutron scattering, is a very sensitive probe of the potential of mean force experienced by the protons in hydrogen-bonded systems.
D. Ceperley   +4 more
core   +1 more source

The renormalization transformation for two-type branching models [PDF]

open access: yes, 2007
This paper studies countable systems of linearly and hierarchically interacting diffusions taking values in the positive quadrant. These systems arise in population dynamics for two types of individuals migrating between and interacting within colonies ...
Dawson, Don A.   +4 more
core   +4 more sources

Hele-Shaw flow on weakly hyperbolic surfaces

open access: yes, 2004
We consider the Hele-Shaw flow that arises from injection of two-dimensional fluid into a point of a curved surface. The resulting fluid domains have and are more or less determined implicitly by a mean value property for harmonic functions.
Hedenmalm, Haakan, Olofsson, Anders
core   +1 more source

Guiding center picture of magnetoresistance oscillations in rectangular superlattices [PDF]

open access: yes, 2001
We calculate the magneto-resistivities of a two-dimensional electron gas subjected to a lateral superlattice (LSL) of rectangular symmetry within the guiding-center picture, which approximates the classical electron motion as a rapid cyclotron motion ...
A. Lorke   +25 more
core   +1 more source

Home - About - Disclaimer - Privacy