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Hirvensalo and Karhumaki's algorithm is based on computing a rational approximation to ln2 (and a few other constants) to a high-degree of precision.
This paper proposes a method based on computing a mean (nominal) plant, uncertainty weight based on the deviations of the extreme plants from the mean plant and performance weights capturing desired performance.
The optimality of the algorithm is principally based on computing a virtual path which is basically an Euclidean distance from the source to the destination aiming at a restriction of the search space.
The principle of the mapping of an unassigned SNP (uSNP) on a pig chromosome is based on computing a similarity score between this SNP and all the already mapped SNPs (mSNPs).
The similarity term is based on computing a per voxel real number called residual as R i, j, k (d X, d Y ) = I X (x i + δ x X (x i, y j ), y j + δ y X (x i, y j ), z k + δ z X (x i, y j ) ) − I Y (x i + δ x Y (x i, y j ), y j + δ y Y (x i, y j ), z k + δ z Y (x i, y j ) ) (1)Where i and j are defined as before and k ∈ { 1, 2,..., d } marks an index into the volume grid in the axial dimension.
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The new methodology is based on computing an Approximate Reduced Row Echelon Form of the Actual Degrees of Disequilibrium (ARREFADD) with respect to a preset tolerance level.
The following algorithm is an SQP-type algorithm for solving (1.1), which is based on computing at each iteration a primal-dual stationary point of (3.1).
The method is based on computing for each input a number of incremental ratios, namely elementary effects, which are then averaged to assess the overall importance of the input.
Compared with those based on computing the ordinary characteristic polynomial of a graph, we perform a numerical study using real chemical databases.
The current generation of decoding algorithms is based on computing the pseudo-inverse of a matrix and does not satisfy these requirements.
Therefore, we proposed an algorithm based on computing similarity between two documents and decision, which one will appertain to the domain and one which will not, using a threshold value calculated automatically on a development data set.
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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