Sentence examples for modeling and space from inspiring English sources

To improve our understanding, better constraints on the thermal properties, the melting relations, as well as the compositions of the cores are required through experimental work on phase diagrams and transport properties, numerical modeling, and space mission data to constrain the core compositions.

Modeling time and space series in various areas of science and engineering require the values of parameters of interest to be estimated from the observed data.

To cope with the modeling complexity, machine components and space limitation are modeled by a hierarchical, feature-based modeling method the functional feature tree modeling method.

A "fast forward" takes us to the present time when advances in modeling and increasing concern with space weather have prompted renewed interest in a classic observation.

Environmental and technological parameters are consistently acknowledged as crucial for understanding when and why different relationships developed across the sea, but their formal employment in the modeling and interpretation of maritime space remains quite limited.

We discuss important issues such as modeling, search space characteristics, and performance objectives.

We assume that our points (g, u, s) are drawn independently from a distribution D over G × U × S, where G is the space of genotypes, U are some auxiliary features of the data that are not of direct interest for modeling and S is a binary space.

We discuss strategies for structuring the modeling space and show the usefulness of our approach using real-world examples from our ongoing industry collaboration.

We present a mixed-state space approach for modeling and segmenting human activities.

This visual and mathematic modeling technique divides space in small finite elements (discretization) and, for each one, applies fundamental equations of thermodynamics, mass and energy conservation to calculate several variables like temperature, air speed and air flow orientation.

Dispersion modeling approaches can be used to assign individual exposures that vary in time and space.