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The conditional probability of failure is usually computed adopting a log-normal assumption to reduce the computational cost.
For confounding variables that do not show different effects on different transition probabilities through the examination of separate analytical results, the transition model can adopt the equal-effect assumption to reduce the complexity of the model.
Various recent studies have shown that using the lumped Hill functions for Michaelis-Menten kinetics in SSA actually yielded similar results as using the fully decomposed elementary biomolecular reactions model, thus validating the approach of applying quasi-steady-state assumption to reduce the complexity of stochastic models [ 78- 81].
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On Monday, we will present a budget that uses realistic assumptions to reduce deficits each year and achieve balance by 2012.
While the company said it expected a change in pension-fund accounting assumptions to reduce earnings by 5 to 6 cents a share, it expects income over all to rise by 7percentto9percentcent.
Given these limitations, an optimal decorrelation technique should comply with the following set of assumptions: To reduce as much as possible the dimensionality of the hyper-spectral data.
In this work, indoor coverage planning is based on simple geometrical assumptions to reduce the computational load in the network planning tool.
After a description of the intrinsic challenges associated with the mechanics of fluid-driven fractures, we discuss both continuum and meso-scales numerical methods as well as engineering models which typically make use of additional assumptions to reduce computational cost.
Thus, we made several simplifying assumptions to reduce the dimensionality of the problem.
To address this problem, we have to integrate more base clustering approaches with diverse optimization criterions and pattern assumptions, to reduce the bias generated by base approaches.
The simplifying physical assumptions required to reduce the perturbation term to the Flory χ parameter are given.
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