Sentence examples for simplex fitting from inspiring English sources

They were, however, hampered by limitations of the hard geometric approach, particularly the sensitivity to experimental error and outlier data points caused by the simplex fitting approach.

An example of simplex fitting in the plane is shown in Figure 1, illustrating why the strict containment model used in Chan et al. (2009); Ehrlich and Full (1987); Schwartz and Shackney (2010) is extremely sensitive to the noise in data.

The motivation for soft geometric unmixing is to provide some tolerance to experimental error and outliers by relaxing the constraints in Program 1, allowing points to lie outside the boundary of the simplex fit to the data.

Histograms with the most frequently observed currents were constructed with pSTAT program version 6.0.5 using Simplex SLQ fitting.

The raw data was preprocessed as described above and a simplex was fit to the reduced coordinate representation using the soft geometric unmixing method (see Section 2.1.2).

We encountered the local minimum problem in our attempts to use Simplex optimization for curve fitting.

To achieve this aim, simplex models were fitted by which genetic and environmental influences could be separated from variance due to measurement error and the presence of genetic and environmental innovation could be tested.

Finally, fitting a genetic simplex model with transmission and innovation terms did not worsen the model fit (model 5a: χ (10) = 11.62, p = 0.311).

We investigated misspecification, and found that fitting the standard ACE simplex to covariance matrices generated by an AE simplex with phenotype to E transmission produces the particular result of a rank 1 C (common environment) covariance matrix with positive transmission, and a rank 1 D (dominance) matrix given negative transmission.

The turning-on (ON) and -off (OFF) transitions were analyzed by fitting the photocurrent using the simplex method of non-linear least-squares protocol of the appropriate software (Clampfit 9.2 and 10.1 Molecular Devices Co).

Nelder-Mead simplex method [19] is used to search for the optimal values for fitting.