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"DynaSim is an open-source MATLAB/GNU Octave toolbox for rapid prototyping of neural models and batch simulation management.
Then, a multistage countercurrent extraction using batch simulation is used to further optimize the parameters.
In this paper, we propose a new method for the interactive analysis of in-situ visualization images produced by a batch simulation job.
These relatively large increment sizes help to reduce the time taken for this batch simulation.
It can be observed that the CFSQP result compare well with the result obtained in the exhaustive slow batch simulation.
To verify the results obtained in the SQP optimization phase, another exhaustive batch simulation was carried out, this time using smaller parameter increment sizes: P1_increment_size = P2_increment_size = P3_increment_size = 0.01 m, (alpha _F)_increment_size = 1.0°.
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We have also demonstrated that our simulation is capable of running faster than real-time being able to perform batch simulations on many different design iterations.
Using SQP optimization technique the most energy efficient motion profile was identified, which was confirmed by exhaustive batch simulations.
This is evident from CFSQP energy result being smaller than that of the exhaustive slow batch simulations.
We run independent batch simulations that have in common the small cell network topology, but differently configured transport protocols used by UEs' applications (TCP or UDP) and different MAC scheduler (proportional fair or round robin).
The simulations were divided into closed-system batch simulations at a constant CO2 pressure of 100 bar with sensitivity studies of temperature and reactive surface area, an evaluation of the reactivity of H2O in scCO2, and finally 1D reactive diffusion simulations giving reactivity at CO2 pressures varying from 0 to 100 bar.
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