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According to our experience, useful methods of real world problems often need to be used to solve several problems arising in different spaces.
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Network reconstruction methods infere mathematical models of real world networks directly from experimental data ([ 1- 5] and references therein).
"Lack of "real world" professional skills".
To show the application of DB method to real world problems, it is applied to a complex finite element model of a flood wall in New Orleans.
In order to show the suitability of this method to real world design problems, we apply it to the Royal Institute of British Architects pylon design competition.
The potential of the method for real world applications is illustrated by simulating a simplified dynamical mixer where for the fluid flow and the scalar transport no-slip and no-flux boundary conditions are imposed, respectively.
Applications of the boundary integral equation method to real world problems often require that field values should be obtained near boundary surfaces.
A clear need exists for objective methods of assessing real world functional abilities, as subjective self-assessments are likely to be influenced by current symptoms or other illness features [ 9].
Hence, we evaluate the performance of the methods on real-world network data.
We examine the performance of the proposed method on real-world benchmark instances from biology, and compare its results with those of the exact solver alone, without the heuristic clustering.
Case studies represent an important means of illustrating the application of methods to real-world problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com