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We obtain variance estimations for conventional methods and compare them to simulations.
We also implement a dynamic version of the prestige score (Methods) and compare its performance of prediction with that of the dynamic win-lose score.
It is shown to overcome the usual drawbacks of the feasible-path methods and compare favourably with the recently developed unfeasible-path algorithms.
We show the relationship between VHIPM and other popular trajectory generation methods, and compare the ZMP errors in walking when trajectories are generated by various methods including VHIPM.
We consider stability of implicit vs. explicit methods and compare the effects of step size, sample size, and type of increment used to approximate the Brownian motion.
An additional Section 18.12 provides worked numerical design examples to illustrate calculation methods and compare different grinding processes including shallow-cut grinding and high-efficiency deep grinding (HEDG).
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The teacher then collects the different methods and compares them.
Mathematical expressions are derived for both methods and compared.
This paper presents various optimization methods, and compares sensitivity search methods.
Data were stratified by 4 surveillance methods and compared.
We thus used several methods and compared their results.
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