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Here we use a nonlinear method based on the maximum entropy principle.
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Based on the integrated analysis program of iSIGHT and MATLAB, the mounting system parameters are optimized using a nonlinear method.
Therefore, having taken the computational efficiency and inversion stability into account, we apply the fast MCMC method (shown as Fig. 1) to generate stable Markov chains converging to the posterior probability density distribution of inverted parameter and invert the elastic impedance using a nonlinear method based on the fast MCMC method to identify fluid.
Consequently, the preferred method is to use a nonlinear least squares criterion.
The use of a nonlinear method (such as BayesR) and high-density SNP genotypes, combined with a multi-breed reference population that included cows and bulls, led to the highest accuracies of genomic prediction, especially for a breed that was not included in the reference population.
In this paper, we hypothesise that the use of a nonlinear method (BayesR), combined with a multi-breed (Holstein/Jersey) reference population will map causative mutations with more precision than GBLUP and this, in turn, will increase the accuracy of genomic predictions for selection candidates that are less related to the reference animals.
A new generalized method for designing continuous amplitude-only pupil filters for transverse superresolution using a nonlinear programming method is presented.
Here, finite difference methods on a block-structured adaptive grid are used, and the resulting equations are solved using a nonlinear multigrid method.
Input and output constraints are handled in the optimization task using a nonlinear programming method.
A saturation hyperbola with onset age was fitted to the audiometric threshold-on-age data using a nonlinear regression method.
Some sufficient conditions on the exponential lag synchronization of the FCNNs are obtained using a nonlinear measure method.
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