Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
Moreover, there is no need to format already well-formalized data structures into RDF, such as the various uses of matrices in computational chemistry as RDF triples.
Similar(59)
This block contains only one element of testing set, representing Hermitian or non-Hermitian matrix, in each computational experiment.
This new Riemann solver does not require the use Roe Struijs Deconinck averages, nor does it require the inversion of an m × m matrix in each computational grid cell, where m is the number of conserved variables.
We can parametrise a general unitary operator p ∈ U ( 2 ) by the matrix in the computational basis p = e i η ( e i ϕ cos θ e − i ψ sin θ e i ψ sin θ − e − i ϕ cos θ ).
Soize, Generalized probabilistic approach of uncertainties in computational dynamics using random matrices and polynomial chaos decompositions, Int.
This method results in a huge reduction in computational complexity since it requires much less computation than the direct construction of such matrices [53].
The sparse matrix-vector multiplication (SpMV) is a fundamental kernel used in computational science.
The expression, given in terms of matrix determinants, is compacter in representation and more efficient in computational complexity than existing results in the literature.
This class of hypergraphs corresponds to matrices with the circular ones property, which play an important role in computational genomics.
Consequently, a significant reduction in computational complexity can be achieved in obtaining the entries of this matrix.
"Mostly used in computational lexicography.
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