We compare and evaluate the computational cost and efficiency of LMFG applied to these two formulations using a direct solver for the preconditioners.
The present paper shows that the combined use of hierarchical evaluation, hierarchical parameterization and hierarchical search decreases further the computational cost by increasing the efficiency of the optimization method.
Compared with Scheme I, Scheme II not only has better computational efficiency (the computational cost is reduced by half roughly), but also allows the establishment of a formal asymptotic analysis.
Our results show the superiority of mathematical programing in solving this problem, as evidenced by the resulting wind farm efficiency and the computational cost required to obtain the solutions.
The computational cost required to estimate the average adiabatic efficiency, Mach number and pressure coefficient, as well as their standard deviations, to within a given tolerance level is compared, and conclusions are drawn about the more suitable method for the robust design of ORC turbines.
Although different fingerprinting methods exist, hashed binary fingerprint methods attracted our attention due to their simplicity, computational cost-efficiency and good performance in the case of combinatorial libraries [ 2, 3].
Therefore, the computational cost for a similarity calculation does not affect the efficiency of recommendations generation.
To reduce the computational cost, the interval arithmetic is introduced in the inner loop to improve computational efficiency without compromising numerical accuracy.
Several techniques have been developed to improve the efficiency of the transition state searches and thereby reduce the computational cost of AKMC simulation.
However, to achieve a trade-off between computational efficiency and sound quality, the duplicate filter has not been implemented as it would increase the computational cost by 25%.
