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This paper presents a general preconditioning method based on a multilevel partial solution approach. The basic step in constructing the preconditioner is to separate the initial points into two subsets. The rst subset which can be termed \coarse" is obtained by using \block" independent sets, or \aggregates". Two aggregates have no coupling between them,(More)
We demonstrate how a network model can predict porosity and permeability changes in a porous medium as a result of biolm buildup in the pore spaces. A biolm consists of bacteria and extracellular polymeric substances (EPS) bonded together and attached to a surface. In this case, the surface consists of the walls of the porous medium, which w e model as a(More)
Batch maximum likelihood (ML) and maximum a posteriori (MAP) estimation with process noise is now more than thirty-five years old, and its use in multiple target tracking has long been considered to be too computationally intensive for real-time applications. While this may still be true for general usage, it is ideally suited for special needs such as bias(More)
In this paper we develop a network model to determine porosity and permeability c hanges in a porous medium as a result of changes in the amount of biomass. The biomass is in the form of biolms. Biolms form when certain types of bacteria reproduce, bond to surfaces, and produce extracellular polymer (EPS) laments that link together the bacteria. The pore(More)
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