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The reported results clearly prove that the combined use of the two solvers is convenient from the point of view of both accuracy and computing time.
In our experiment, we compared our models with other methods on both accuracy and computing time.
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Performance results both in accuracy and computing speed for the ThPCA method showed that using the three optimum pseudo-components with flash calculations based on an equation of state, reduce the computational time by half compared to the compositional model while it only decreases the accuracy by 5%%.
Co mparisons are given regarding accuracy and computing time.
Several finite difference procedures are given and compared in terms of accuracy and computing time.
Our empirical evaluations show promising potential in terms of decision accuracy and computing efficiency.
Results are compared to reference data from codes, in terms of accuracy and computing time.
It allows the detailed control of the balance between accuracy and computing time.
Influential factors are also introduced to balance the model accuracy and computing cost.
Yet, a balance should be struck between accuracy and computing time.
The ABdC-N scheme has an ideal computing accuracy and computing efficiency, and it can be more effective to solve the quanto options pricing problems.
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