Sentence examples for parallel methods such as from inspiring English sources

The DPLR method is superior to other parallel methods, such as matrix-based point-implicit methods designed for chemically reacting hypersonic flow simulations.

Despite their considerable merit, predictive bioinformatics tools or massively parallel methods such as microarrays remain limited by the need for knowledge of consensus or sequence which may not yet exist, and are sometime affected by false-positive [63] [65].

It has been known for some time that insect diversity analyses at the family level are suitable for inferring fossil diversity studies at other levels [ 42], a procedure that parallels methods such as the higher taxon approach [ 43], used for estimating diversity in modern ecosystems.

Alternative diffusion-weighted imaging techniques include multi-shot EPI with navigator echo correction or diffusion-weighted PROPELLER and parallel imaging methods, such as SENSE [ 19].

Many parallel imaging reconstruction methods such as sensitivity encoding (SENSE) [ 9], simultaneous acquisition of spatial harmonics (SMASH) [ 10], and generalized autocalibrating partially parallel acquisitions (GRAPPA) [ 11] have been suggested.

There are several other options for improving the algorithm's speed, including the use of better stopping rules, parallel implementation, and the use of more advanced sampling methods such as parallel tempering.

When the architecture of DSP is fixed, an effective way to accelerate processing speed is to use or develop new processing methods such as parallel and distributed algorithms.

There is already considerable research in progress toward applying parallel computing techniques on bioinformatics methods, such as multiple sequence alignment, gene expression analysis and phylogenetic studies.

The introduction in cell signalling research of long-standing targeted proteomics approaches such as selected reaction monitoring (SRM) combined with the development of state-of-the-art methods such as parallel reaction monitoring (PRM) and data-independent analysis (DIA), have allowed delineating temporal quantitative profiles of interactions networks.

It is however, a computationally demanding approach that requires advanced computing methods such as parallel computing and acceleration via GPUs [ 106].

Most successfully presented "lessons" to the children in their dyads, similar to the way that Montessori teachers present lessons to children, while persons with more severe cognitive impairment took part in IGP through other methods such as parallel play.