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Section "Preference-based optimization methods" gives an account of existing preference-based optimization methods.
The size of the trap and reservoir, which can be defined by geological and geophysical methods, gives an estimate of the potential volume of oil in the field, before the drilling has begun.
To summarize, the hill-finding approach, which is the second phase of the ModuLand methods, gives an additional layer of flexibility, where the relatively inaccurate results of simpler hill definitions, and the large computational costs of more accurate optimization processes can be tailored to the network and to the experimenter's needs and possibilities.
The combined string matching methods gives an overall of 4,471 (60.30%) mapped ICPC 2-PLUS terms.
An average coverage of 60.10% and 61.53% was obtained using Pfam and FPfam, respectively; while combining the methods gives an improved coverage of 64.58%.
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The correlation between the values of GWR estimated by the two methods gives a best.
This combination of methods gives a highly accurate, sensitive, and high-throughput approach for quantitative analysis of DNA methylation.
These methods give an overall evaluation of the proteolytic capability of the strains.
Both methods give an estimation of clinically silent CNO lesions; however, WB-MRI may not be available in all institutions.
This surface-measurement method gives an accuracy of about 45μm.
This method gives an approximate sequence of solutions converging to a global solution of the problem.
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