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A linear recursive program is a set of procedures where each procedure can make at most one recursive call.
There exist procedures where each single particle is still selected with probability p ℓ i, but with reduced overall variance, for instance stratified resampling or systematic resampling which should be preferred [ 24, 25].
Recently, machine-learning theory has been used to formulate the network inference problem as a series of supervised gene selection procedures, where each gene in turn is designated as the target output.
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The restoration involves an iterative procedure where each iteration selects a set of interpolated samples depending on the value of the quality factor of the previous iteration.
In this sequentially-updating procedure, the whole distribution network is divided into subsystems and optimized interactively within iterative procedure, where each subsystem is sequentially optimized until no profit improvement is observed.
A comparison is also done between single scan configuration including all samples in a single A4 (HP) or A3 (EPSON) format area and multiple scan procedure where each sample is scanned separately on its own.
Reinforced masonry homogenized failure surfaces are obtained by means of a compatible identification procedure, where each brick is supposed interacting with its six neighbors by means of finite thickness mortar joints, filler epoxy resin and FRP rods.
In particular, reinforced masonry homogenized failure surfaces are obtained by means of a compatible identification procedure, where each brick is supposed interacting with its six neighbors by means of finite thickness mortar joints and the FRP grid is applied on the external surfaces of the REV.
We use a random assignment procedure, where each vacant apartment is contacted by only one of the eight applicants.
In such conditions, a rigid communication procedure, where each user must be aligned before the transmission can start, is inadequate.
The rest of the localization procedure where each node in is multilaterated in order is the same as the centralized localization method of [4].
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CEO of Professional Science Editing for Scientists @ prosciediting.com