The methods for which electro-osmotic drag coefficients have been determined are reported.
The results are obtained from a parallel implementation of the methods for which we report reasonable scalability.
Parameter estimation is based on Monte Carlo maximum likelihood methods for which the details are discussed in this paper.
More efficient structures require modern design methods for which load‒deformation data on bolted joints is critical.
This approach is particularly attractive for high-order methods for which the often-used influence matrix method fails to converge for Δt→0.
We show that inference has similar complexity properties as precise probabilistic inference, unlike most imprecise methods for which inference is more complex.
However, in order to keep this review within reasonable bounds, we only review those methods for which an algebraic analysis has been achieved.
Today, fishing boat design and construction is an international industry, with the different vessel types dictated more by the fishing methods for which they are designed rather than by their port or country of origin.
Results, presented for a one-dimensional Buckley-Leverett problem, demonstrate that these methods are more accurate than conventional implicit algorithms and more efficient than fully explicit methods, for which smaller time steps must be used.
The scheme belongs to the class of desingularized methods, for which the location of singularities and testing points is a major issue that is addressed by the proposed scheme, in the context he 2D Laplace equation.
In such cases, geophysical methods can provide an effective alternative for cavity detection, particularly ground-penetrating radar (GPR) and seismic methods, for which pertinent results have been recently obtained.
