Sentence examples for computational scientific from inspiring English sources
Probability is the best-understood and most widely applied formalism for computational scientific reasoning under uncertainty.
E-science infrastructures are becoming the essential tools for computational scientific research.
In order to make results of computational scientific research findable, accessible, interoperable and re-usable, it is necessary to decorate them with standardised metadata.
Reproducibility of scientific calculations is a crucial tenet of computational scientific research [26 28], and a system enabling easy replication of exact or modified computations reported in a scientific publication would be an important step in achieving this goal [29].
An important problem in computational scientific discovery is to identify, among the diversity of discovery programs written in various sciences, a commonality that will take a next step beyond the acknowledged general but weak framework of heuristic search.
We report on our experience with integrating and using graphics processing units (GPUs) as fast parallel floating-point co-processors to accelerate two fundamental computational scientific kernels on the GPU: sparse direct factorization and nonlinear interior-point optimization.
We also provide a computational-scientific e xa mp le of do ma in-specific use-case offering a solution for some public-transportation domain problem.
You can get good computational and scientific knowledge from Wolfram|Alpha[11], you can look at digitized manuscripts from medieval ones to later artists' notebooks[12], or you could try out some free learning on the Open University website[13].
An outstanding feature of their approach is that it moves formulae and computations from computational tools into scientific publications.
The complexity and computational intensity of scientific computing has fueled research on parallel computing and performance analysis.
Graphics Processing Units (GPUs), originally developed for computer games, now provide computational power for scientific applications.
