The multi-layer sequential mesh motion algorithm (MSM) is proposed to improve the efficiency of the volume mesh deformations, which is adequate for large-scale time dependent applications with frequent mesh updates.
These conditions are particularly suitable for large-scale time-delay Lurie systems with unbounded coefficients.
In this paper, the problem of the decentralized exponential stability for large-scale time-varying delay systems has been studied.
In addition, we solve for large-scale time-varying degree-1 external coefficients in bins of 12 hours length (for ), or 5 days length (for ), similar as for the CHAOS-2 model.
The problem of robust decentralized stabilization for a class of large-scale, time delay, and uncertain impulsive dynamical systems is introduced and studied.
The problem of adaptive fuzzy control for a class of large-scale, time-delayed systems with unknown nonlinear dead-zone is discussed here.
A decentralized adaptive neural output feedback control scheme is presented for a class of large-scale time-delay systems with saturating inputs.
Therefore, all the mentioned algorithms run in polynomial times and can yield a result for large scale problem in practical time periods.
Despite the efficiency of evolutionary algorithms is prominent for large scale problems, their running times in terms of CPU time are quite large.
However, conventional PCR diagnostic approaches are not suitable for large scale diagnoses because they are time-consuming and have low sensitivity.
And in this post tonight, Twitter's Ryan King writes the following, "Our analytics, operations and infrastructure teams are working on a system that uses cassandra for large-scale real time analytics for use both internally and externally".
