Sentence examples for optimization time for from inspiring English sources

For both methods, optimization time for one design is on a standard desktop computer (4 GB RAM, 3 GHz quad core processor) and mainly determined by the optimizer itself, whereas the validation time (10 MC samples) of a single optimal design is.

In our case, the analytical approach has been favored to obtain reasonable optimization times for fixed-point design space exploration.

Parameter optimization (time, pH and substrate concentration) for acid-catalysed BLW hydrolysate utilization using central composite model technique produced 307.9 g/kg glucose with generation of inhibitors (5-hydroxymethyl furfural (20 g/kg), furfural (1.6 g/kg), levulinic acid (9.3 g/kg) and total phenolic compound (0.567 g/kg)).

Decreases in optimization time are granted by parallelization for running on computer clusters and by skipping an initial grid search by using parameters from one solution as the starting point for another —using analytic model results for the numeric models, taking advantage of model nesting, and using averaged non-clustered results for the clustered analysis.

For IaaS optimization, the time for VMs creation would be a critical factor.

This study involves three parts: (i) solvent optimization (ethanol and water), (ii) process optimization (temperature and time) for anthocyanin extraction and (iii) determination of stability of anthocyanins extracted under optimum conditions determined with respect to pH and temperature.

Each optimization run was able to quickly obtain optimal solutions within several minutes with the computer environment as follows: Intel Core™ 2 Duo Processor 1.73 GHz CPU with memory size of 2.5 GB, thereby facilitating the repetition of the optimization many times for statistical purposes.

Fig. 6 Optimization of induction time for extracellular ATH35L production.

This finding focuses on the optimization of synthesis time for the transformation of Fe-filled spherical-like graphene shell (GS) to almost catalyst-free carbon nanotube (CNT) structure using two-stage catalytic chemical vapor deposition apparatus.

The optimization of the training time for each context is necessary for reliable and fast driver identification.

The applied fuzzy logic prediction model is used the first time for optimization of hologram recording setup.