Sentence examples for matrix models that from inspiring English sources

Complex networks of point-connected structural components are represented by matrix models that incorporate impedances or mobilities of the components at the connection points.

This article presents an overview of basic matrix models that are used for managing population dynamics, analyzing stability of biological communities, projecting ecosystem cover of a landscape, and describing the ecosystem balance of energy, water, and chemical elements.

This study introduces a comprehensive approach to assess this potential for altered population fitness, and uses a combination of demographic data in two habitat types and mathematical (matrix) models that include crop rotations and outcrossing between parental species.

However, subspecialization needs to evolve from one-dimensional organ/system-based models to three-dimensional patient-centred matrix models that consider the disease and the presenting clinical problem [ 71].

As expected, the best description of apprentices' skill application when solving representative IP tasks was yielded by a matched Q matrix model (Q-MATCH3: including skills which were identified to be relevant in at least two single Q matrix models) that balanced the (dis)advantages of different information sources, in a moderate manner, and that fits the data best.

This produces a model, known as a random matrix model, that has no free parameters and is invariant under a wide range of change of basis.

This is a matrix model that reflects the internal and external, personal and individual aspects of CTO's power.

Secondly, we point out that the effective superpotential terms for N=1 ADE quiver gauge theories is similarly computed by large-N multi-matrix models, that have been considered in the context of ADE minimal models on random surfaces.

EFISCEN is an area-based matrix model that assesses the availability of wood and projects forest resource development.

For the Gaussian ensembles, because of the facts that there exist corresponding explicit random matrix models and that some powerful analytical methods are available in the derivation of their exact or asymptotical properties, lots of limiting spectral properties, including the behavior of the extremal eigenvalue, have been discussed in depth.

It would be interesting in future work to incorporate matrix decomposition models that explicitly incorporate different noise models (e.g., noisy ICA [28]) for a more robust un-mixing of material responses from instrumental responses.