Sentence examples for analytical problems which from inspiring English sources

However, the difficulty to obtain sensors with appropriate selectivity and sensitivity for a given analyte, and to solve analytical problems which do not require the quantification of a certain analyte, but an overall effect on a biological system (e.g. toxicity, quality indices, provenance, freshness, etc)., led to the concept of electronic tongues as a new strategy to tackle these problems.

A significant technical point is that, because we use each parent term in isolation, we avoided the analytical problems which would derive from the fact that sometimes a GO term has several parent terms.

In contrast to our assumption, fluid intelligence was also predictive for solving domain-specific analytical and constructive problems, which is in line with findings of static problem-solving competence in the PISA study.

In the context of the PISA 2003 study, these processes were referred to as analytical problem solving, which was assessed by static tasks presented in paper-and-pencil format.

In this work we propose to use differential transform technique to obtain approximate analytical solution for these problems, which result in significant reduction in computational effort.

Finding and checking robustness of analytical methods are two different problems which must be treated with different tools.

The foregoing decomposition allows for an elegant analytical solution of the boundary value problems which is also numerically efficient.

A major use of computers in science and engineering is in finding numerical solutions to mathematical problems, which have no analytical solutions.

One of the well-established analytical techniques for solving engineering vibration problems, which are represented by ordinary differential equations, is the method of multiple scales (MS).

end{aligned} (1.3e) Recently, Zhao et al. [9] proposed a fast single image super-resolution by adopting a new efficient analytical solution for (ell_{2} -norm rell_{2} -normoblems, which can regularizednumber of iterations in each looproblemsive steps to three steps by tackling the dowhichpling operator Φ and the blurring operator H simultaneously.

The neural networks are frequently used to model complicated problems which are difficult to make equations by analytical methods.