Exact(3)
This example shows that a reduction in size of around 11%to97%7% or more can be achieved by splitting the original model into partial models.
The benefit of stable NBRP and MPCT is that better performance can be achieved by splitting the input file into less number of data blocks, and hence incurring less overhead.
This may be achieved by splitting the interval ([a b]) into small intervals, such that (A < 1) on each of these intervals, and then solving equation (20) on each of these intervals with the initial condition being equal the terminal value of the solution on the preceding interval.
Similar(57)
This goal is achieved by splitting the optimization problem in a multi-scale framework.
This reduction is achieved by splitting the variable density pressure gradient term in the governing equations.
The cross-validation has been achieved by splitting the data into five blocks preserving the initial class distribution.
This is achieved by splitting the initial input file into several smaller chunks, and requires the application to be completely parallel.
This is achieved by splitting the state-space model (11), (14) into lower-dimensional sub-models (each corresponding to a cluster), cf. with [22, 23].
The natural oscillation is achieved by splitting a single CSTBR into two smaller ones connected in series while keeping the same total residence time.
For a relatively standard dose escalation trial with three dose groups each with 10 subjects, an optimal balanced between risk of more than one serious adverse event and trial design is achieved by splitting each dose group into two subgroups of three and seven.
The latter goal is achieved by splitting the stators into eight concentric rings, each fed with a slight time delay compared to the ring immediately inwards, thereby attempting to emulate a point source.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com