In this study, researchers constructed a mathematical model, based
on ordinary differential equations, linking the different molecular processes associated with spine expansion together.
Not exact matches
Ordinary differential equations typically apply when several variables are a function of time, while partial
differential equations get used when a variable is dependent
on both time and space, says Michael Reed, a professor of mathematics at Duke University who applies mathematics to physiology and medicine.
The framework is based
on solving nonlinear coupled
ordinary and partial
differential equations that model the kinetics of the following phenomena: (1) mass transport in the electrolyte and electrode using the Nernst - Planck
equation; (2) electrical potential distribution using the Poisson
equation; (3) interfacial reactions that determine the boundary conditions or source terms (using the Butler - Volmer
equation or constant - flux conditions); and (4) evolution of the electrode / electrolyte interface using the Allen - Cahn
equation within the phase - field modeling (PFM) approach.
We develop systems of
ordinary differential equations to address the generic features of the initial phase of spheroid formation and an agent - based three - dimensional computational model to focus
on spatial differences in the process.
In a system such as the climate, we can never include enough variables to describe the actual system
on all relevant length scales (e.g. the butterfly effect — MICROSCOPIC perturbations grow exponentially in time to drive the system to completely different states over macroscopic time) so the best that we can often do is model it as a complex nonlinear set of
ordinary differential equations with stochastic noise terms — a generalized Langevin
equation or generalized Master
equation, as it were — and average behaviors over what one hopes is a spanning set of butterfly - wing perturbations to assess whether or not the resulting system trajectories fill the available phase space uniformly or perhaps are restricted or constrained in some way.