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However, the set of suspicious quantities may be quite extensive in real problems.
Computational Fluid Dynamics (CFD) present a solution to determine these parameters in real problems.
In real problems, the statistics are computed by a numerical method and therefore they are affected by a certain level of error, depending on the chosen accuracy.
The knowledge of explicit error bounds has some advantages in real problems as: industry applications, medical pathologies or FBI fingerprint compression.
The number of coefficients to identify is reduced and their modeling capacity is preserved in real problems where the number of interacting elements is limited.
Although the number of data points is an important factor for improving the richness of the dataset, there are limitations on increasing the number of data points in real problems.
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Instead of having our officers engage in real problem solving they will spend most of their time rushing around, trying to put Band-Aid fixes on chronic problems.
Sixth, the principles of gamification (i.e., the use of game thinking and game mechanics in non-game contexts to engage users in real problem solving) that are being introduced to policy makers and citizens at ever increasing rates.
This problem can be seen in many real problems, such as in electric circuits, chemical reactions, and vehicle systems.
High sensitivity is highly desired since the DNA levels are low in some real problems, such as in pathogen DNA detection and cancer or infectious disease DNA detection.
The results of the real applications also prove the merits of GOA in solving real problems with unknown search spaces.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com