Sentence examples for efficient approximation to the from inspiring English sources

This approach is based on a computationally efficient approximation to the conditional out-crossing rate for higher-dimensional vectors.

Our numerical results evince that the nonlinear approach results in a more efficient approximation to the solutions of the biofilm model considered, and demands less computer memory.

Whereas the former one allows to efficiently describe extrinsic and external fluctuations as stochastic inputs to the model equations, the latter provides an efficient approximation to the solution of the chemical master equation for describing stochasticity in the biochemical reactions.

We highlight that the independent encoding minimizing the global cost function can be accomplished and also provide an efficient approximation to the encoding technique to avoid a computational burden at each node in practical use while maintaining a reasonable estimation performance.

In the next section, we derive a computationally efficient approximation to the PEV based on the principal components of the genotypes and use this measure for training population design.

The WLS method provides a computationally efficient approximation to the GLS useful especially in exploratory analyses of confidence sets of trees, when assessing the phylogenetic signal in the data, and when other methods are not available.

This paper discusses the evaluation and optimization of these performance measures, including an efficient approximation to first-passage reliability, and examines the degree to which the optimal structural design, and its reliability, vary when the optimization is carried out under these different measures.

A more suitable numerically efficient approximation to P E V R i d g e (M Test ) can be obtained by using the first few principal components (PC) of the marker matrix M instead of M itself.

Time interpolation does not reproduce the exact conditions of high mobility scenarios but provide a cost-efficient approximation to them. Figure 2 shows the block diagram of the receiver structure utilized along this work.

When applying the approach to infer biological networks from large high-throughput datasets which although sparse, can have thousands of vertices, we look for an efficient analytical approximation to the algorithmic solution.

As in multiscale finite element methods (MsFEMs), the main idea of the proposed approach is to construct a small dimensional local solution space that can be used to generate an efficient and accurate approximation to the multiscale solution with a potentially high dimensional input parameter space.