At the same time, we find that the resulting maximally informative foraging strategies can also be implemented with a combination of a random confined walk with an internal drift-diffusion variable to encode the transition to a new search strategy.
Recently, Srinivasacharya et al. [10] studied the mixed convection flow along a vertical wavy surface with the effects of cross diffusion and variable properties in a porous medium.
In the present work, the certified reduced basis finite element method is proposed and implemented to solve the generalized eigenvalue problems of neutron diffusion with variable cross sections.
More recently, interesting analytic solutions have been obtained by Kumar et al. [31] and Jaiswal and Kumar [32] for the one-dimensional advection-diffusion equation with a variable diffusion coefficient and a variable velocity in both a finite and infinite domain.
Activity coefficients (spatially and temporally variable for the diffusion model, temporally variable for the well-mixed model) were estimated using UNIFAC.
(A ) The log probability that the food is located elsewhere has approximately linear dynamics, resembling a drift-diffusion decision variable.
The results of these calculations show that, contrary to the usual assumption, the effects of variable viscosity and variable diffusion coefficient are both significant and comparable in magnitude.
The magnetic field strength, shell size and degree of particle cross-field diffusion act as variables to which the radio to X-ray to gamma-ray signal is sensitive.
However, with a nonzero excitation threshold (unlike zero in the cited studies) and diffusion of both variables, wave phenomena in our study are more diverse and complex.
No correlations between diffusion and clinical variables were evidenced in the present study confirming that brain correlates of sleep disorders in patients with Parkinson's disease were more specifically depicted using neuromelanin-sensitive than diffusion imaging.
