Sentence examples for methods to higher from inspiring English sources

Transference of methods to higher resolution data requires testing and in a range of different forest types and AGB strata.

With the development of computational power, application of lower length scale methods to higher length scales for more accurate and comprehensive results is feasible in the future.

Progress in these topics has seen the extension of methods to higher resolution (both spatial and temporal) data to better capture the disturbance signal, distinguish degraded and intact forest, and monitor regrowth.

The numerical results, presently obtained via EnKF-like simulations with or without a reduced-rank unscented transformation, clearly indicate remarkably superior filter convergence and accuracy vis-à-vis most available filtering schemes and eminent applicability of the methods to higher dimensional dynamic system identification problems of engineering interest.

Our analysis pertains to the application of Runge Kutta methods to high-order finite difference discretization.

ACC applies machine-learning and image-analysis methods to high-content data generated by large-scale, cell-based experiments.

Thus, applications of array methods to high-frequency seismograms are limited to records from local arrays of small spatial scale (e.g., Taira et al. 2007).

In this paper, we extend these methods to high-order accurate WENO schemes and the HLLC approximate Riemann solver.

It has been shown that regularization is very important when applying classification methods to high dimensional data, even for linear classifiers [61].

They range from low-throughput research laboratory component systems and manual minicolumn methods to high-throughput automated systems dedicated to HbA1c measurements.

Interestingly, only 2k sweeps are needed for extensions of the parallel marching method to higher dimensions.