Sentence examples for elimination term from inspiring English sources

The problem is algorithmically solvable by using resultants or by one calculation of Groebner basis with respect to an elimination term order.

In this paper, attention is restricted to three of the models, the simplest power relationship with no lag period or elimination term (Model 1, k=3.5, w=0, λ=0), and two models allowing the elimination (Model 2, k=3.9, w=5 years, λ=6.8%/year; Model 3, k=5.4, w=5 years, λ=15%/year).

The eigenvalues λ i of the coefficient matrix B are simply the diagonal elements: The flux terms F i, i +1 and the elimination terms E i are defined in eq 46.

Models with target-mediated drug disposition (Michaelis Menten) elimination terms were also tested, and they were not able to describe the time-dependency of clearance, or significantly improve the model fit.

This simplification affords a compact solution for the steady-state concentration of the free non-ionized molecules in the ith compartment (see the numbering in Figure 14 in section ), obtained by back-substitution:(2115) Here, c1 is the invariant concentration of the free non-ionized chemical in entry (aqueous) compartment 1, and the flux and elimination terms F and E are defined in eqs 46.

That June, the referendum approved the elimination of term limits.

In February 2009 a constitutional referendum calling for the elimination of term limits on all elected officials had been approved by more than 54 percent of voters, clearing the way for Chávez to run for president again in 2012.

AT&T Announces the elimination of Term Plans Exceeding 3 Years for Multiple Digital Services.

With the elimination of term limits and an election victory in 2017, Kagame stands to gain not only more power but also continued protection from international justice.

By this process of elimination, redundant terms were removed and the combination of retained terms aimed to minimise the number of retrieved irrelevant records.

The model reduction method developed in this work is based on the generation of a large set of candidate reduced-order models by elimination of terms from the original model, followed by selection of suitable reduced models from the generated set through checking against T-optimality design of experiments criteria.