Sentence examples for approximation of the largest from inspiring English sources
The nodes assigned to the subset at the final state serve as our approximation of the largest significant subset.
To do so, we reduced the widths of all boxes beginning at a minimum width of 30 m (a single pixel of our LiDAR-derived carbon map), doubling repeatedly up to 3840 m width (an approximation of the largest width that was divisible by the pixel size of 30 m).
In the present work, we developed a sequential matrix approximation procedure, which uses increasingly larger subsets of mutation pairs in W to provide a series of estimates for w as solutions of the weighted least squares problem [16].
After sigmoid function based thresholding of the wavelet coefficients, a Bayesian estimator is used to obtain an approximation of the large scale features in the signal.
To achieve a closed-form expression for C i OP − SI, an approximation for the large number of relay antennas is applied here.
The case of ergodic diffusion process is considered in the work (Abakirova, A and Kutoyants, YA: On approximation of the BSDE. Large samples approach. In preparation), which is still in progress.
In the earlier works Kutoyants and Zhou (2014); Gasparyan and Kutoyants (2015); (Abakirova, A and Kutoyants, YA: On approximation of the BSDE. Large samples approach. In preparation) (see the review of these works in Kutoyants (2014)) we considered the approximation of the solution of BSDEs with a learning interval of fixed length.
The multi-step MLE-processes used in this work can be useful in similar problems of BSDE approximations for dicrete-time observations and ergodic diffusion models mentioned in the introduction (see (Abakirova, A and Kutoyants, YA: On approximation of the BSDE. Large samples approach. In preparation) and Gasparyan and Kutoyants (2015)).
22 These large-scale connectomes are a great source of information for studying organizational principles of brain connections and guiding electrophysiological recording and interpretation in monkey studies, and also constitute an estimate or at least an approximation, of the human large-scale connectome.
The proposed method is based on the approximation of the yield integral over the largest rectangular hypercube (n-box) that is contained in the feasible region.
In the present work, we show that the rank-structured representation can be gainfully applied to the accurate approximation of the electron density of large Aluminium clusters.
