Overview
- A collaborative study involving MIT, Princeton, and other institutions has developed a mathematical model to optimize bowling ball placement and strike conditions.
- The model uses six differential equations derived from Euler's formula, treating the bowling ball as a rotating rigid body to calculate its trajectory.
- Key variables such as lane oil distribution, ball asymmetries, and human error are integrated into the model, introducing a calculated 'miss-room' to improve accuracy.
- The research aims to provide practical tools for players, coaches, and equipment designers, moving beyond subjective strategies to data-driven optimization.
- Future enhancements to the model are planned, including adjustments for uneven bowling lanes, to further refine its application in competitive and training settings.