Principles of optimization are explained and applied to the problem of determining the characteristics of a climb, riding intensity and position on the bike which are scientifically optimal for an Everesting challenge. Physics, data collection and data science are used together to calculate the optimal strategy for the Data Science Cyclist. But the findings are generally applicable to anyone regardless of their ability. The optimal approach is determined for a variety of Everesting objectives.

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Good luck with your Everesting adventure!