Sentence examples for more general computational from inspiring English sources

In addition, CML is accompanied by a number of methodologies [11 13] and infrastructures, such as CMLXOM [14], Jumbo6 [15], Jumbo-Converter [16] and CMLValidator [17], which support the development of a more general computational chemistry format.

(83) The computational form of (mathbf{R}^{ z)}(t)), by inspection of the more general computational form for (mathbf{R}(t)) derived in Appendix B, is mathbf{R}^{ z)}(t) = sum_{l=1}^{n}G^{(l)}(t) mathbf {R}_{z}^{P_{l}} t-t_{l-1} boldsymbol{ Lambda} t-t_{l-1} boldsymbol{

The new synapse model is designed with the knowledge that it will be used as a module in a more general computational tool which will be able to have its parameters and functionality upgraded modularly and conveniently as more experimental data is generated by new studies.

However, from this experience one can derived some more general conclusions, besides computational complexity, most problems in bioinformatics have a dual nature.

In conclusion, we believe that our results set important boundary conditions for the development of visuomotor models of saccade planning during reading and, at a more general level, for computational models of eye-movement control.

They are of a more general interest in theoretical and computational chemistry and physics.

In particular, we aim to explore whether it is possible to cover more general interactions without increasing the computational complexity of the algorithm.

In order to extend hybrid schemes to more general geometries, we develop here a robust, semi-analytical computational method to compute Green's functions for more general geometries in both 2D and 3D.

Consequently, computer scientists used the increasing computational power of GPUs to implement more general algorithms by expressing them in the aforementioned shader languages.

This computational tractability hints at a more general, and more significant, mathematical tractability enjoyed by the S-HDS framework, a property we now leverage to develop a rigorous predictive analysis methodology for social diffusion events.

In this work we use a computational modeling approach to gain a more general, qualitative insight in the spatial and temporal dynamics and mechanisms of evolving organism-environment interactions.