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Data based modeling applications require the complete automation of model creation of, in general, nonlinear processes.
Many solid modeling applications require information not only about the geometry of an object but also about its "topology" -- the connectivity of its faces, edges, and vertices.
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In detail, phenomenological model application requires the availability of design parameters and technical devices specifications.
But the direct model application requires data of fouling formation monitoring to identify its parameters for work with specific media streams prone to fouling.
In view of a mathematical modeling, such applications require finding criteria for qualitative properties of their solutions.
Since dynamic traffic assignment models for ITS applications require a very detailed representation of O-D matrix in time and space, the O-D estimation problem is highly undetermined.
For example, network based applications require 3D model compression and streaming, in which a tradeoff must be made between the visual quality and the transmission speed.
Some applications require models to be trained to a high degree of accuracy before they can provide any value to a customer, while others need little or no data at all.
The period between revisions is however sufficiently short to preserve its utility as a reference model in applications requiring a fixed reference standard.
Many engineering design applications require geometric modeling and mechanical simulation of thin flexible structures, such as those found in the automotive and aerospace industries.
Many computer graphics and computer-aided design (CAD) applications require mathematical models to be generated from measured coordinate data.
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