Sentence examples for development of computations from inspiring English sources

In recent years, calculations of electronic structures in the excited states have been a focus of interest because of the development of computations based on Gaussian and the time dependent density functional theory (TDDFT) [21 23].

The massive increase in data volume with the development of computation capability has outmoded compute-intensive clusters for the analysis of large-scale datasets due to the network bottleneck caused by the large amount of data transferred over the network.

The further development of computation capability and large-scale storage systems facilitates research that interweaves between different scientific fields.

The widely recognized praises of the Java technology have made it appealing also for the development of computation-intensive scientific and engineering programs.

In this paper, aiming at the development of computation as proof search tools, we propose the Maude language as a means for designing and implementing different deep inference deductive systems and proof strategies that work on these systems.

The result is an increase in the speed and quality of development of computation tools for the life sciences, due to the functionality and graphical user interface available to the developer through the public API.

With the rapid development of computer technology and the help of symbolic computation, this approach is of utmost simplicity.

The systematic analysis of transcription start sites and/or alternative splicing would obviously require the incorporation of the whole-genome sequence, provided that it is available for a given organism, and the development of heavy computations to build mRNA models accounting for alternative transcription and/or splicing.

Due to the wide applicability and significant utility, its development became remarkable, the industrial revolution and the spectacular development of the computation technique had a significant role.

Discrete particle simulation, a combined approach of computational fluid dynamics and discrete methods such as DEM (discrete element method), DSMC (direct simulation Monte Carlo), SPH (smoothed particle hydrodynamics), PIC (particle-in-cell), etc., is becoming a practical tool for exploring lab-scale gas solid systems owing to the fast development of parallel computation.

In the study of anisotropic diffusion for speckle reduction, a lot of research focuses on the development of the computation of c(x).