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With current computing power and software, the task of performing the number crunching and then handling the large amount of data produced has become a non-specialist task.
The forest-level management problem addressed is complex, if not impossible to solve optimally, with current computing technologies, as integer decision variables are assumed.
Main implications from these observations are that dynamic similarity can not be maintained in virtually any scale-up processes, and, even for laminar flows, direct numerical simulation of a solidification problem can not be handled with current computing resources.
With current computing capacities, it is not possible to include all available North Chilean forearc data into a single 3-D model, and we are unable to decide for the time being if a local or a regional approach is more appropriate for the North Chilean margin.
With current computing hardware power, and vigilant optimisation of the manipulated mesh models and the solving procedures, heads with pinnae (but without torso) can be investigated at least up to 10 kHz, and baffled pinnae can be investigated up to 20 kHz.
The complexities of eukaryotic genomes prohibit exhaustive testing of all tools and parameters with current computing hardware.
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With the current computing capabilities of personal computers, a mixture model for about 100 substances can simulate a full day in a few seconds of computer time.
However, with the current computing power available in single workstations, such an approach would be very tedious to pursue in a numerically stable manner.
With the current computing facilities, S-MGS models exceeded animal models in terms of practicality, as their robustness allowed the analysis of more data and the inclusion of more traits e.g. information from later parities.
Furthermore, with the improvement of CPU/GPU power of current computing technology, the real-time calculation has been making good process.
Note that in Algorithm 8, R is updated with synchronization, which could easily suffer from unbalanced current computing workloads.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com