Sentence examples for analytical problems and from inspiring English sources

Implementation of the proposed approaches have been demonstrated with two analytical problems and two large scale practical offshore structural problems.

Alternatively it could betray analytical problems and inadequate sampling designs or a lack of stability in the biomarkers themselves whereby they change in random ways unrelated to environmental factors.

Figure 1 An illustration of users' processes of solving complex analytical problems and sharing analysis results (findings).

There is, however, a way around these analytical problems and approach the question of biogenicity by returning to criterion 1 and using the full capacity of doubly polished thin sections.

My research focus was in the field of ion beam analysis (IBA), which is essentially an offshoot of nuclear physics in which accelerator-based techniques are applied to a large variety of analytical problems, and an opportunity arose for me to continue my work at the National University of Singapore (NUS).

Analytical intelligence is an ability to solve analytical problems, and that requires using deductive skills and utilising existing knowledge (for example, analysis of traffic flow, numerical optimization, or planning a typical construction process, etc).. Analytical intelligence is acquired through the combination of rote learning and learning deductive skills.

Stability criterion is also established for the linearized Green Naghdi equations for both the analytical problem and the numerical method.

The ability of two major variations of HDMR, namely RS (Random Sampling -HDMR and Cut-HDMR, for conducting global Sampling -HDMR, first by solving andlytical problem and later by analyzing the mesoscale model ofornreinforconductingwall.

In order to demonstrate its competitiveness, the method has been applied to an analytical problem and the theoretical optimal and suboptimal a priori estimates have been confirmed for various boundary conditions.

From this study, we found that both applications are useful for solving analytical problems individually and collaboratively in different environments.

Since the models are simple in form they can be applied to analytical problems, optimization, scaling, and design.