Sentence examples for constrained fit from inspiring English sources

The MDSFR analysis algorithm estimates μ′ s (or a1 and a2 in case of a spectrally constrained fit) and γ by minimizing the weighted residual error between the simulated and the model estimated R SF o (λ, d fiber ) for all included fiber diameters (and all included wavelengths in case of a spectrally constrained fit) simultaneously.

In this work, we use an a priori h2 value of 0.03786, equal to the DE421 value derived from a constrained fit to LLR data [ Williams et al., 2008].

For the sectional feature based strategy, slicing, curve feature recognition and constrained fitting are introduced.

We also compared these fits to neurally constrained fits employing only the static or the dynamic component of E t): B i (t ) = α E i (0 ) and B i (t ) = α [ E i (t ) − E i (0 ) ], respectively.

Half-life values were determined from exponential fit curves based on Peak cursor and Post-Stim cursor positions using a least squares constrained exponential fit algorithm (National Instruments, Milan, Italy)64.These measurements were performed on individual traces within each experiment.

To fit the phiX174 genome, the procedure required a manual low-abundance cutoff of 10,000× and was constrained to fit only 1 term in the mixture model because of the extremely high coverage in that dataset (100,000×); otherwise, all of the microbial genomes were analyzed with the same procedures and parameters.

Several examples of vapor pressure fits compare results obtained from the (1, 1.5, 3, 6) Wagner equation with other equations constrained to fit the lower and higher pressure limits.

The lander design was constrained to fit within the requirements for accommodation on the ESPA.

Inside the superelement, the mesh is refined and the trial function constrained to fit the known analytic form of the solution in the neighborhood of the corner singularity.

Connected spiral sets are generated by successively branching child spirals from parent spirals, constrained to fit nearby neighbors in their environment.

These equations are well constrained and fit the data well (71% < R2 < 88%), but they have standard deviations of about 0.5 log units, such that the range defined by the mean ± one standard deviation spans about an order of magnitude.