Sentence examples for model reductions in from inspiring English sources

Morris et al. (2013c) demonstrated using a generalized linear mixed model, reductions in the spruce to fir pollen ration is a robust response variable (p < 0.001) to spruce beetle outbreaks, shifting by a factor of 2 1 between pre-outbreak (1950 and 1985) and outbreak periods (1985 to 2005).

The needs for model reduction in microsystem technology (MST) are described from an engineering perspective.

The internal balance technique is effective for model reduction in flexible structures, especially those with dense frequencies.

The proposed method allows performing local model reduction in the presence of high contrast and no scale separation.

In particular, classical model reduction techniques are used to eliminate non-dominant fundamental-time-modes from the solution process, resulting in model reduction in the time domain.

Galerkin projection of the Navier Stokes equations on Proper Orthogonal Decomposition (POD) basis is predominantly used for model reduction in fluid dynamics.

The ANOVA method combined with stochastic collocation methods provides model reduction in high-dimensional parameter space through decomposing high-dimensional inputs into unions of low-dimensional inputs.

With the help of various techniques from asymptotic analysis connections between these models have been shown and model reduction in the situation of large or small turbulence have been performed in [4 8].

The experiments also show that our technique outperforms general MDPs solvers (that do not perform model reduction) in dense problems, i.e., problems in which actions have many probabilistic outcomes.

In the epileptic model, reduction in dopamine pathway proteins was accompanied by an increase in the expression of proteins involved in polyamine synthesis, referring to a new regulating mechanism.

Genetic algorithm (GA) has been used in this study for a new approach of suboptimal model reduction in the Nyquist plane and optimal time domain tuning of proportional integral derivative (PID) and fractional-order (FO) PIλDμ controllers.