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Apparently, the phase-based sampling method with the prior importance sampling distribution bears the lowest complexity.
The prior importance distribution forms a good alternative as it is often easy to sample from it.
Hence, based on the results from Table 1, the phase-based sampling method with the prior importance sampling distribution has the lowest overall complexity.
Since the prior importance sampling distribution employs no information from observations in proposing new samples, its use is often ineffective and leads to poor filtering performance.
It is remarkable given the prior importance of estrogens that, following the establishment of tamoxifen as the standard, estrogens largely disappeared from the endocrine therapy mindset of practicing oncologists, being relegated to the end of a list of agents that included aromatase inhibitors (AIs), progestins, and androgens.
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The scenarios labeled phase-based A and B correspond to the phase-based sampling algorithm from Section 5.2.2, using the optimal and prior importance sampling distributions, respectively.
Indeed, taking into account gradient effects is of prior importance for the applicability of fatigue models to real structures.
Computer simulations show that the performance complexity tradeoff is optimized for the phase-based sampling method with a prior importance sampling distribution.
Therefore, full comprehension of the structural behavior of historic structures is of prior importance.
Also the contribution of other EMF sources is of prior importance [ 46, 47].
A better understanding of the damage mechanisms of these materials at the microsphere scale under such a hydrostatic loading condition is of prior importance in determining actual material limits, improving phenomenological modelling and developing novel formulations in the future.
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CEO of Professional Science Editing for Scientists @ prosciediting.com