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In particular, the VLS method is fastest for about 60% of the test problems, and it ultimately solves 100% of the test problems.
The left side of the figure gives the percentage of the test problems for which a method is fastest; while the right side gives the percentage of thee test problems that are successfully solved by each of the methods.
The left side of the figure gives the percentage of the test problems for which a method is fastest; the right side gives the percentage of the test problems that were successfully solved by each of the methods.
On the time efficiency comparison, our method is fastest and needs least time to process a slice.
Where it is clear what input data points, D, we are referring to, we abbreviate the notation to B. Our goal is to determine which function optimization method is fastest (in terms of computer time) at training static, thermodynamic transcription models.
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The convergence of our method is fast.
The method is fast and robust.
In addition, the speed of the proposed method is fast.
Furthermore, the proposed method is faster than "08'TOG".
This method is fast and simple without using complex template.
The presented method is fast and cost-efficient.
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