Search
Now showing items 1-10 of 4157
Decay of small odd solutions for long range Schrödinger and Hartree equations in one dimension
(IOP Publishing, 2020)
We consider the long time asymptotics of (not necessarily small) odd solutions
to the nonlinear Schrödinger equation with semi-linear and nonlocal Hartree
nonlinearities, in one dimension of space. We assume data in the ...
Memory and long-range correlations in chess games
(Elsevier Science, 2013-09)
In this paper we report the existence of long-range memory in the opening moves of a chronologically ordered set of chess games using an extensive chess database. We used two mapping rules to build discrete time series and ...
Long-range Dependence And Approximate Bayesian Computation
(Taylor & Francis IncPhiladelphia, 2017)
Very long-range correlations (nJC,H n > 3) in HMBC spectra
(2008)
The structural elucidation of natural products and complex organic molecules relies heavily on the application of proton detected heteronuclear NMR. Among these techniques, the HMBC NMR experiment remains as the most popular ...
Fast long-range connections in transportation networks
(ELSEVIER SCIENCE BV, 2011)
Multidimensional scaling is applied in order to visualize an analogue of the small-world effect implied by edges having different displacement velocities in transportation networks. Our findings are illustrated for two ...
Tsallis scaling in the long-range Ising chain with competitive interactions
(Sociedade Brasileira de F??sica, 2009-08)
Long-range interactions in antiferromagnetic quantum spin chains
(American Physical Society, 2017-08)
We study the role of long-range dipolar interactions on antiferromagnetic spin chains, from the classical S→ limit to the deep quantum case S=1/2, including a transverse magnetic field. To this end, we combine different ...
Taylor's power law for ecological communities: an explanation on nonextensive/nonlinear statistical grounds
(2014)
A new idea on how to conceptually interpret the so-called Taylor’s power law for ecological communities is presented. The core of our approach is based on nonextensive/nonlinear statistical concepts, which are shown to be ...