Sentence examples for methods from computational from inspiring English sources

Methods from computational intelligence (CI) that are often inspired by nature can help to improve these systems.

We focus on methods from computational linguistics as a potential source of quantitatively robust, but qualitatively rich information about crime.

A deliberate goal in this process is to have methods and programs that work in dimension d≥2, and this requires some methods from computational geometry.

Here we introduce methods from computational linguistics to build a systematic overview of research on transport, buildings, waste management and urban form.

In this paper we develop the framework needed to apply modern high accuracy numerical methods from computational gas dynamics to this extended system.

We employ techniques and methods from computational geometry to design an optimization algorithm and an efficient 12-approximation algorithm for the problem, and employ the optimization algorithm to design a PTAS based on the shifting strategy [Hochbaum DS, Maass W. Approximation schemes for covering and packing problems in image processing and VLSI. Journal of the ACM 1985 32 130 6].

Given that new MS technologies and experimental setups are constantly being developed, we see it as a prerequisite for a "good" method from computational MS that it is not targeted at one particular experimental setup.

The DSC has already proved itself as an accurate method particularly at high frequency region in which many numerical methods suffer from computational expense and efficiency.

A non-marginal strategy developed in our work outperforms existing methods, both from computational and from a quality point of view.

These methods benefit from computational efficiency as only the initial and final states of the system are evaluated, yet there remains a need for strengthening their theoretical foundation.

While these codes are typically used in a design-by-analysis approach, in previous work we have shown that divertor design can alternatively be posed as a mathematical optimization problem, and solved very efficiently using adjoint methods adapted from computational aerodynamics.