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We present a new algorithm for solving nonlinear wave equations when initial data is specified on characteristic surfaces.
We present a dissipative algorithm for solving nonlinear wave-like equations when the initial data is specified on characteristic surfaces.
One example is the depositions from Nature Chemical Biology whereby the combined efforts of authors and publishers provide (for subscribers) reciprocal links to compounds where their activity data is specified in the paper.
Other data elements are "semi-defined", data entry fields in which only the format, not the content, of the data is specified.
Similar(56)
Optical rotation data are specified for each compound including intermediates.
Two cases are presented, first with only the bounds on the data being specified and second with the variance-covariance matrix of the data additionally being specified.
In support vector regression, the training and the validation data are specified first.
Here the data are specified on ∂ D × ( 0, 2 π ) and C > 0 is independent of u 0 e and u 0 a.
Fluorescent data are specified for collection during primer extension.
Where possible, UN sources for data are specified.
Monophyletic partions of data were specified in BEAUti (Additional file 20: Text S1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com