Sentence examples for remarkable computational from inspiring English sources

The comparative molecular field analysis (CoMFA) studies resulted in reliable and remarkable computational models.

The proposed approach shows a remarkable computational efficiency when applied to industrial applications.

The proposed techniques provide a remarkable computational complexity reduction, as discussed throughout the paper and also demonstrated by means of illustrative examples.

The kernel recursive least-squares (KRLS) algorithm is a combination of the kernel method and recursive least squares, and has a remarkable computational time-saving effect based on its sparsity solution [16].

Here, we present Enhancing Metabolism with Iterative Linear Optimization (EMILiO)–a novel bilevel optimization-based algorithm that includes all possible flux modifications and is solved with remarkable computational efficiency via iterative linear programming.

Applications of the proposed hybrid approach in circular aerostatic thrust bearings with cylindrical and rectangular recesses demonstrate its accuracy and remarkable computational efficiency compared with solving N S equations in the whole domain.

CAFA predictions compared well with full scale multi-physics FEM simulations and experiments with scanning laser Doppler vibrometry (SLDV), while achieving remarkable performance in computational efficiency and computer resource saving compared with conventional FEM.

Some numerical examples on the nonlinear elliptic equations show that the remarkable increase of computational efficiency is achieved by our improvement.

From these surfaces, water levels and velocity distributions can be calculated for long-term periods at any estuarine location saving a remarkable quantity of computational cost and time.

Due to the remarkable progress of computational technology, the model resolution of NICAM is steadily being increased, with the highest resolution to date having been achieved when a horizontal mesh size of 870 m was used (Miyamoto et al. [2013]).

The remarkable growth in computational power over the last decade has enabled important advances in machine learning, allowing us to achieve impressive results across all areas of image and video processing.