Your English writing platform
Discover LudwigExact(7)
A new algorithm for computing results for a seasonal model, which reduces computing time by an order of magnitude for monthly time steps is presented.
This method is implemented by means of large samples used in a simulation model which reduces computing time and is oriented towards physical objects.
This approximation greatly reduces computing time.
The subsampling in step 2 not only reduces computing time but also usually improves predictive performance [ 26].
SNP-PRAGE reduces computing time much and has comparable performance to GLOSSI and GSEA without going through the permutation step.
FastBayesB greatly reduces computing time but several parameters required to describe the prior distribution of SNP effects are assumed to be known.
Similar(53)
Strategies for improving separation of metric inequalities are presented and an iterative approach for obtaining solutions, that significantly reduces computing times, is introduced.
The use of parallel processing can also reduce computing time.
In this context, techniques for reducing computing time using parallel processors are discussed.
Response surface approximation was used to approximate the objective function to reduce computing time.
Recently many culling methods are studied and contribute to reduce computing time of CCD between deformable models [19],[19].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com