Simulation results demonstrate that the proposed algorithms are advantageous in terms of convergence to the appropriate locations and efficients in regard to energy conservation in WSNs.
This is advantageous over other iterative techniques, where convergence is largely tied to a good initial approximation of the solution.
This approach ensured a fast convergence rate, which is advantageous for vibration and sound radiation analysis of high-order modes.
This approach ensured a fast convergence rate, which is advantageous for vibration analysis of high order modes.
In probing fast rotational diffusion processes where the temporal resolution of the system is rather limited, this slow convergence rate could be advantageous.
VDQ is computationally advantageous since it has a fast rate of convergence and can reproduce the results of molecular dynamics simulations.
It has been shown that this new scheme is advantageous in terms of computational efficiency, stability, and convergence than the existing schemes that solve for the characteristic inverse parameters of a sheet/dike model from gravity data inversions.
On the basis of the aforementioned analysis, it can be concluded that the inverse scheme developed here is more advantageous than the Marquardt method in terms of convergence, stability, and flexibility in the choice and usage of initial guesses.
It has also been shown that the new scheme developed here is advantageous in terms of computational efficiency, stability and convergence than the existing gravity data inversion schemes that solve for the characteristic inverse parameters of a sheet/dike.
The convergence properties of such functions are advantageous in a least squares sense and are shown to produce significantly better approximations to the solution of the Navier-Stokes equations in post-critical states where unsteadiness characterizes the flowfield.
