1 While certain computationally expensive techniques 2 can construct predictive models with considerable accuracy from high-dimensional data, reduction of these data prior to modeling is a separate problem that has received recent attention.
The leap-frog optimisation algorithm for constrained problems (LFOPC) has been linked to the multi-body dynamics simulation code (Vehsim2d) to enable the computationally economic optimisation of certain vehicle and suspension design variables.
The results in the studies suggest that pose estimation is computationally verified to a certain extent, but the accuracy of the Kinect solely when used for motion capture still remains unexplored.
Less computationally demanding tasks with certain tools are more likely affected by nonmajor tasks such as VM launch and another overhead, but overall the expected portion is minimal, suggesting that, to optimize the entire eThread, the key strategy should be the combination of efficient input data parallelization as well as speed-up of tools such as THREADER and "high" computation tools.
The exact solution of the boundary value problem can be approximated by computationally cheaper fluxes which modify certain physical quantities.
From the theoretical point of view, finding all EMs that correspond to a certain EFP is computationally hard (see Theorem 2.7 in [ 42]).
In recent years, it has been shown that for broad classes of computationally intractable problems, there exist certain phase-transition boundaries across which the nature of the solutions and the computational effort needed to identify a solution changes dramatically [ 24].
This problem is NP-complete and computationally intractable even to approximate with certain absolute performance bounds.
We show that, given a database, finding a small set of variables that obtain a certain value of R2 is computationally hard, in the sense that this term is used in computer science.
The conventional computation method, which solves the process model cycle by cycle and takes the solution only when a cyclic steady state is reached after a certain number of switching, is computationally expensive.
