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This paper demonstrates how an optimal second base can considerably reduce the complexity of the system while significantly improving the representation space for application specific designs.
We extend the application of DNA molecular operations and simultaneity reduce the complexity of the computation.
By making careful choices in the method's application, one can often significantly reduce the complexity of the computations.
The aim is to reduce the complexity of the controllers derived by modern controller design packages for practical applications.
In most filter applications, the coefficients are fixed, which can be used to reduce the complexity of the multiplication.
Further, SHCF, as compared to simultaneous saccharification and co-fermentation (SSCF), reduces the complexity of the process, which is important for larger scale applications.
Complexity reduction generally relies on the analysis of quantitative data, allowing modeling and application of generalizable rules, substantially reducing the complexity of the situation.
The application also benefits from its simple, linear progression, reducing the complexity of the statistical model to a form friendly to all users.
This reduces the complexity of the system.
These features reduced the complexity of the robotic-guided procedure.
This greatly reduced the complexity of the conditioned media.
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