This large sample from the relatively small population of Iceland allowed them to implement the long-range phasing with a fairly straightforward rule-based method which does not take full use of the data but disregards partly inconsistent information [Hickey et al., 2011; Kong et al., 2008].
Among various methods in the attempt to address this issue, the most attractive is the physically-based method, which does not require abundant, and often unobtainable, data.
We present then a focusing-based method which does not require symmetric array configuration.
An efficient ESPRIT-based method, which does not require any calibration sources or iterative operations, has been developed to jointly estimate the azimuth-elevation angles and the mutual coupling coefficients.
Then, we propose an efficient ESPRIT-based method, which does not require any calibration signals or iterative operations, to jointly estimate the azimuth-elevation angles and the mutual coupling coefficients.
Any such estimate needs to be accurate, convenient and inexpensive, and consequently should be a noninvasive formula-based method, which does not require multiple blood samples or tedious urine collection.
In this work, we propose a relatively simplified approach based on deterministic nonlinear optimization method which does not require sampling.
This method is based on the point-set method which does not require any connectivities between interfacial points to represent the interface.
The simplest numerical approach for computing the gini index is based on the relative deprivation method which does not require ranking observation by increasing order of income values.
Thus, two conclusions can be drawn here: first the "different methods for different HTs" statement is mainly due to the origin of the HTs, and second even though it seems to be true for GC content, codon usage or dinucleotide based methods, it doesn't apply to tetranucleotide based methods which look rather insensible to all HT criteria.
To document a practical usefulness of the presented approach, we designed and implemented two simple algorithms for computing rational offset blends between two canal surfaces based on the contour method which do not need any further advanced formalism (as e.g. interpolations with MPH curves).
