Sentence examples for computational in nature from inspiring English sources

The other limitation is computational in nature; numerical difficulties arise when calculating natural frequencies, modes of vibration and dynamic stiffness of continuous models at high frequency.

The first two of these, John L. Pollock's theory of defeasible reasoning and the theory of semantic inheritance networks, are explicitly computational in nature.

In addition, these systems were procedural or computational in nature, in contrast to the semantic characterization of warranted conclusions (in terms of preferred models) in McCarthy's circumscription system.

The thickness of the transition region is an input parameter that may be related to the finite dimension of the α-β-γ junctions or considered strictly computational in nature.

He does not only appropriate skills and knowledge that are scientifically and mathematically computational in nature but also begins to appreciate the identity, epistemology, and values, the grammar as Gee (2007) terms it, of the domain space.

The development underlines the real potential for automated inspection of infrastructure at large, because it demonstrates that the hurdles in the way of automated acquisition of detailed and semantically rich models of existing infrastructure are computational in nature, not instrumental, and are surmountable with existing technologies.

In terms of big data analytics, the challenges are mostly scientific, computational, and analytical in nature.

Their motivation, however, has been not computational but technical in nature, due to the difficulties that extensionality brings about when studying metamathematical properties of intuitionistic set theories.

In order to obtain a comprehensive overview of the splicing pattern of a given gene and of its implications, it is in general necessary to consider results obtained by different approaches, both computational and experimental in nature, since no individual method or algorithm is powerful and accurate enough to provide a complete picture of such a complex biological phenomenon.

While the assessment is purely computational and predictive in nature, it can guide further experimental efforts (e.g., detection and immunogenicity assays) and ultimately the development of effective and safe biotherapeutics for human use.

The computational process is intrinsically parallel in nature, and allows for a natural implementation on parallel computers.