Sentence examples for methods has linear from inspiring English sources

The methods has linear response in the range of 20.0 to 4000.0 ng mL−1 with the correlation coefficients (r) between 0.9980 to 0.9995, while its reasonable detection limits viz.

The while method has linear response over 30 4500 ng mL−1 of Az-II with acceptable correlation coefficient of R2 = 0.9996.

Under these pre-qualified conditions the method has linear response over wide concentration range of 15 6000 ng mL−1 with a correlation coefficient of 0.9996.

At optimum conditions method has linear response over 2.0 500.0 ng mL−1 with detection limit of 0.5 ng mL−1 with relative standard deviations (RSDs) less than 5.0%.

Under optimized conditions, present method has linear response over concentration range of 10.0 3000.0μg L−1 in human urine samples with a satisfactory detection limit close to 3.5 μg L−1.

Under the optimal conditions, the method has linear calibration curves over the range of 0.3 20 ng/mL for Cd and 0.5 40 ng/mL for Pb, with correlation coefficients (R) of 0.9990 and 0.9986 for Cd and Pb, respectively.

Under the optimal experimental conditions, the proposed method has linear ranges over 0.002 30 μg mL− 1 with detection limit 0.0003 0.0005 μg mL− 1 and good RSDs (and n = 6) of 3.3 4.5% for NMCs.

At optimum conditions method has linear response over 0.001 10 μg mL−1 with detection limit between 0.0001 and 0.0005 μg mL−1 with relative standard deviations (RSDs) in the range 2.18 5.06% (n = 6).

At optimum conditions, the method has linear response over 0.0033 10 µg mL−1 with detection limit between 0.0010 and 0.0015 µg mL−1 with relative standard deviations (RSDs) less than 5.5% (n=3).

The proposed method has linear complexity in the number of users and subcarriers and only small performance loss compared to the dual optimum [10, 11], which has the closest performance to exhaustive search.

In addition, our method has linear complexity with respect to the number of frames, which allows us to compute the disparity maps of the whole sequence in a single optimization.