Sentence examples for trial configurations from inspiring English sources

Automatic classification was successful for all but four samples out of 14,400 classification trial configurations, representing 403,200 sample classification attempts (28 attempts per configuration).

We conduct simulation studies to demonstrate that the proposed sample size maintains the nominal power and type I error under a wide spectrum of trial configurations.

Within DMC, we start with some particular system configuration as the initial state, and then generate a sequence of other possible trial configurations.

Once these 4 CG particles are added, we calculate the non-bonded interaction energies using a cutoff of 20 Å and compute the Boltzmann factors for each of the 32 trial configurations from the interaction energies.

Such spurious structure was removed by taking out the trial configuration state functions in which the positron was weakly coupled to the target.

Most of the computational time in N-Reverse Monte Carlo modeling is spent in the evaluation of the structure factor for each trial configuration, a calculation that can be easily parallelized.

We first construct an initial trial configuration for the ions and then minimize the total potential energy of the oblate Paul trap (including the trap potential and the Coulomb repulsion between ions), as summarized in Eq. (9); MatLab is used for the nonlinear minimization with a multidimensional Newton's method.

To determine the configuration at time t + 1, first a trial configuration X* is selected randomly among its "neighbors".

If the sum of Boltzmann factors is sufficiently high (>1 × 10−6), we select a trial configuration according to its Boltzmann weighted probability and add the next CG unit to the chain.

We used a simple way to define the neighborhood of a configuration and constructed the trial configuration as follows: First a letter a is drawn from the alphabet Σ according to the letter weights f a and next one of the sequences (x or y) and a position i is chosen randomly.

The clinical trial software configuration is used in the GORD use case and consists of components needed for design, deployment, and collection of trial data, backed by provenance and secure authentication framework for researchers.