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Adaptive random search (ARS) method has been used as optimization technique.
Techniques which generalize the ARS method, using non-parametric proposals, have been applied for this purpose (see [54]).
The adaptive rejection sampling (ARS) method [19, 26] is not an MCMC technique, but it is strongly related to the sticky approach, since it also employs an adaptive non-parametric proposal pdf.
For the small inserts like Q7 with volume of 2.6 ml, the ARS method produced cRC of 70%%, which is as high as Sanders et.al reported for the sources with volume from 4 to 8 ml.
The ARS method produced the highest recovery values for all spheres; the gain was dependent on the insert size and ranged from 200 % for small inserts to 35%% for the largest inserts when compared to A method.
Rule 2 with ε=∞, i.e., (P_{a} z)=max left [1-frac {pi (z)}{q_{t} z)},0right ]) The ARS method in [19] is a special case of ARMS and IA2RMS, so that ARS can be considered also belonging to the new class of techniques 2.
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Fig. 2 cRC for A, AR and ARS methods as a function of spherical insert volume.
It is worth mentioning that both the ERP1 and ERP2 results are higher than the AR method in the multiple-EC set.
On average, AR and ARS produced 3 and 4 % lower effective half-lives than A. On the other hand, AR method produced on average 15 and 20%% and ARS 19 and 25%% higher higher absorbed doses to the right and left kidneys than A due to systematically higher activity estimates at different acquisition time points.
The 40Ar/39Ar technique, a variant of K-Ar dating system, has now commonly replaced the conventional K-Ar method to overcome these disadvantages.
The LAMBDA method is currently the most popular AR method in GNSS community due to its efficient implementation with decorrelation technique (Teunissen 1995).
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