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This paper addresses the improved method for sonar sensor modeling which reduces the specular reflection uncertainty in the occupancy grid.
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This method is implemented by means of large samples used in a simulation model which reduces computing time and is oriented towards physical objects.
A new algorithm for computing results for a seasonal model, which reduces computing time by an order of magnitude for monthly time steps is presented.
For fast fluid-phase reactions such as complexation, local equilibrium assumption may be applied in the model, which reduces the number of primary components and hence the number of governing equations.
Having proposed an improvement of this model which reduces appreciably the computation time, we propose another integer linear programming model, easy to carry out, which allows to obtain, in a few seconds of computation, optimal or near-optimal solutions for instances with hundred of cells and hundred of species.
Botha brought up the cost factor of streaming all that data, which Bitcasa addressed by saying that they use a caching model, which reduces costs.
The geometrical relationship between landmarks is expressed with a probabilistic model, which reduces the matching complexity and eliminates irrelevant points.
The approach typically employed when only gene (or protein) intensities are available is the creation of tissue-specific models, which reduces the available reactions in an organism model, and does not provide an objective function for the estimation of fluxes.
Because of the receiver pulse shape filtering, this assumption is not exactly true, but it is used to provide us simpler diagonalized LMMSE estimator model, which reduces the channel estimation complexity.
In addition to avoiding the need for rescaling, this special case allows equations for non-parents to be absorbed, as in the reduced animal model, which reduces computational demands, although the main computational task of inverting the dense genomic relationship matrix of genotyped individuals remains.
In contrast, the within-family models – which reduce confounding of unobserved parental characteristics shared by siblings - show that this association is negligible both statistically and substantively.
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