Sentence examples for minimum computational time from inspiring English sources

This work has focused on the optimization of the area, power and has improved all other performance parameters of the CMOS TSC and CMOS FCOTA with minimum computational time.

This has been achieved by identifying flexible control parameters that can be successfully adjusted to tune each algorithm, leading to the most efficient performance (i.e., rapidly locating global optima while consuming minimum computational time), when applied to each well-path case evaluated.

This limits the minimum computational wall clock time: if each propagation and collision MC simulation was run with its own worker, the minimum time to complete a full run is bounded below by the time taken by a single propagation (this could be accelerated by using more powerful hardware).

From the viewpoint of both minimum error and computational time, PSO is recognized as the best model for this kind of problems [30].

The proposed method uses an OSELM that can learn data chunk-by-chunk with a fixed chunk size of (20times 20), with RBF kernel classification approach to perform malware localization, Tor traffic identification and botnets prohibition in an energetic security mode that needs minimum computational resources and time [7].

We show that our model requires a minimum of 10% of the computational time for computing the same strain state in structural mechanics simulations compared to imaging-based alveolar microstructures.

Although this approach may converge to a global minimum in theory, the computational time may be too intensive to carry out.

The molecular system is trapped in its local energy minima for the most part of the computational time, and the barriers between local minima on the energy landscape hinder transitions between different low-energy states.

This optimization procedure permits multiple optimal states and does not guarantee a global minimum in a reasonable amount of computational time.

The proposed two-step Bayes classification framework was equal to and, in some cases, outperformed other classification methods in terms of prediction accuracy, minimum number of classification markers, and computational time.

Moreover, it requires minimum computational effort, enabling its use for real-time applications.