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Methods for coupling a nonlinear source description to a linear system description have been proposed by several authors.
Generally, methods within each scale are available but robust and reliable methods for coupling one scale to another are not.
Methods for coupling reaction and transport, such as sequential iteration approach (SIA) and predictor corrector approach are incorporated into the code to make the model versatile.
We discuss methods for coupling the electronic structure scale to the atomic scale and the atomic scale to higher length scales.
We show that while explicit methods for coupling the incompressible Navier Stokes equations and Newton's equations of motion are often sufficient to solve for the motion of cylindrical particles with low density ratios, for more complex particles – such as a body with a protrusion – they become unstable.
A variety of different methods for coupling targeting ligands to the surface of preformed liposomes will be described.
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With this challenge in mind, a prototypical, geographic object-based simulation framework is presented to demonstrate methods for coupled hydrological and biogeochemical modelling.
At a theoretical level, the development of homogenization methods for coupled fields in large deformations may offer a systematic way to justify these models.
The implementation of the method for coupling daily and monthly rainfall series is demonstrated.
A common second-order accurate method for coupling operators is Strang's method of operator splitting.
In this paper, a method for coupling two different time scales of stochastic hydrological time series models is introduced.
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