Buyers of Russian models are particularly stymied by the distance from the market where it was originally sold.
For this reason, reduced order models are particularly relevant for the design of these systems.
Therefore, empirical models are particularly favorable to engineers especially in the preliminary design stage.
Combinatoric models are particularly suited to computational applications and facilitate the interconnection of existing system models.
Self-consistent approaches linking macroscopic reactor models and microscopic or atomic scale growth models are particularly emphasized.
Based on two specific modeling methodologies, two types of optimization models are particularly formulated with different considerations.
The combination of purposely designed experimental set-ups and mathematical models are particularly useful to look into these complex processes.
Starting from statistical samplings or anthropological dynamics hypothesis, GIS predictive models are particularly helpful for archaeological site detection.
Stochastic, individual-based models are particularly useful for studying adaptive speciation in sexual populations, and partial differential equation models confirm the pervasiveness of adaptive diversification.
For this task, ancestral graph models are particularly useful in that they can represent the presence of latent confounding and selection effect, without explicitly invoking unobserved variables.
Mouse models are particularly valuable, especially in conjunction with the use of genetically engineered animals with heightened expression or deficiency of certain gene products.
