Sentence examples for method must take from inspiring English sources

To be geologically practical, the method must take cross-sections as the main data source and must be capable of modeling areas with complex faults, maintaining data consistency as well as carrying out multi-body modeling.

The efficiency of a given method must take in account two basic aspects: the first is the agreement of the results obtained with the coarse grid when compared to the results obtained with the fine grid and the second is the upscaling computational performance.

Counselling concerning the choice of contraception method must take into account the individual needs of each woman and methods that require co-operation from a partner may not be appropriate for all women.

To achieve this, the dose calculation method must take into account the activity of the elimination processes for the drug(s) in question before the first treatment is given.

To quote Mathworks, "An ODE problem is stiff if the solution being sought is varying slowly, but there are nearby solutions that vary rapidly, so the numerical method must take small steps to obtain satisfactory results" (http://www.mathworks.com/company/newsletters/articles/stiff-differential-equations.html).html

We see from Table 1 that if we require a bound on the equilibrium variance of 0.1 then the Poisson τ-leap method must take | z ⋅ | ≤ 2 11 while for the RK methods the bounds on | z| are approximately 4 and 10, respectively with s = 3, 5.

Significant differences between the results of these methods must take our attention.

A comprehensive comparison among methods must take these influential factors into account.

Isolation methods must take into account the existing hospital ventilation systems.

These methods must take into account the relevant time frame of exposure and be able to define the parent compounds to which individuals are exposed in order to truly assess risk.

All results (including quality measures like r or MAD) should be accompanied by an estimate of the statistical precision and any comparison of ligands or methods must take this uncertainty into account in a statistically valid way.