Sentence examples for models often using from inspiring English sources

Through class lectures and regular problem sets, students will develop skills in formulating and solving analytical models, often using game theoretic solution concepts.

Programmers can build statistical models (often using Bayesian statistics) that maps past data to predicted outcomes.

Optimization of signal timing for urban street networks is a more complex task than the simplified simulation models often used for academic research.

However, current sequential software design techniques as well as the Single Program Multiple Data (SPMD) programming models often used in the High Performance Computing (HPC) domain are insufficient.

The accuracy of the model is compared with that of other models often used in power electronics applications.

Moreover, their models often use algebraic operations of fuzzy numbers to calculate the fuzzy sets in QFD.

Practical models often use the empirical dusty-gas formula to estimate the effective gas diffusion coefficient, assuming that all resistances are addable even after a volumetric average.

XSEOS – excess Gibbs energy models and equations of state – is an Excel® add-in for computing properties with thermodynamic models often used in chemical process design.

Consequently host-parasitoid models often use a discrete time step corresponding to the common generation length of host and parasitoid.

In order to model specific properties of large data sets, predictive models often use many descriptors limiting the applicability domains of the model.

Second, they produce models capturing non-linear relationships in the data, instead of simply modeling only linear relationships, like traditional linear regression models often used in QSPkR studies.