Therefore, the observer design problem can be efficiently solved by available numerical suites.
The numerical suites have, in fact, the advantage of an intrinsic simplicity of use and the ability to solve problems that, because of the complexity and plurality of the factors at play, cannot be easily managed through the analytical and empirical methodologies.
The resulting high order well-balanced schemes are validated on a suite of numerical experiments involving complex magnetic fields.
The new vertical grid is tested with a suite of numerical experiments and compared to a classical sigma-layer model.
A suite of numerical algorithms called the Toolbox has been designed to model the flow of low-velocity liquids and gases through microfluidic components.
It is often argued that these forces are predominant and approximately equal in planetary cores; we test this hypothesis using a suite of numerical geodynamo models to calculate the Lorentz to Coriolis force ratio directly.
Based on the evaluation using the system of criteria mentioned above and the comparison of numerical results for the suite of test datasets, the software tools gmkin, KinGUII and CAKE are recommended for use type I, and gmkin and KinGUII for use type II.
Along similar lines of development, we have created a geomagnetic data assimilation system, MoSST-DAS, which includes a numerical geodynamo model, a suite of geomagnetic and paleomagnetic field models dating back to 5000 BCE, and a data assimilation component using a sequential assimilation algorithm.
A computational framework for the evolution of non-hydrostatic, baroclinic flows encountered in regional and coastal ocean simulations is presented, which combines the flexibility of Adaptive Mesh Refinement (AMR) with a suite of numerical tools specifically developed to deal with the high degree of anisotropy of oceanic flows and their attendant numerical challenges.
KPP also includes a comprehensive suite of stiff numerical integrators.
