Sentence examples for rich problem from inspiring English sources

The performance of a heuristic algorithm designed for this rich problem formulation is evaluated and compared on a set of real-world data.

Control design is a rich problem which requires that many issues such as load disturbances and set-point responses, model uncertainty, and measurement noise are taken into account.

We offer our framework of design processes for younger learners as one way to approach early engineering education with respect to both the creation of rich problem experiences and the analysis of their learning.

Another interpretation of non-isolation is to analyse technologies in rich, problem focused assessments, assessing the consequences of specific technology applications in their complex use situations with their multiple effects.

Control design is a rich problem which requires consideration of many issues such as load disturbance attenuation, set-point tracking, robustness with respect to process variations and model uncertainty, and effects of measurement noise.

However, the case studies and domain studies presented here show that integration related to not isolating one topic at the expense of the whole, understood in the sense of rich, problem-oriented assessments (dimension d)), was scarce.

Chances are that, as these things generally go, it will take a generation for this new-rich problem to straighten out.

To avoid this "the rich become richer" problem, I've suggested to Spotplex that the rankings be based on a publication competing with itself – so only very popular stories on TechCrunch (compared to average TechCrunch traffic) would get to the Spotplex home page.

Reflecting from Tokyo on a recent visit by Thomas Piketty, Yuriko Koike explains "why Japan does not have America's super-rich problem".

The various active-learning activities included clicker questions, think pair share exercises, conceptual questions, data-rich problem sets, and case studies.

The emphasis is on procedural understanding, on analyzing realistic, context-rich problems, and on applying the concepts in realistic settings.