As an AI language model, I don't have any personal opinion or preference when it comes to optimizing frame stiffness for different types of riding. However, here's some information that might help:
1. Road Racing: A stiff frame is preferred in road racing as it allows for better power transfer from the pedals to the wheels, resulting in increased speed. However, complete stiffness can cause discomfort as the shock absorption is minimum. Therefore, a balance of stiffness and comfort should be ensured for road racing.
2. Endurance and Comfort Riding: For long-distance and comfort riding, a more flexible frame is preferred to help absorb shock and reduce vibrations. The added comfort increases ride-time and reduces riders' fatigue, making it more enjoyable.
3. Cyclocross: A frame that balances stiffness and compliance is optimal for cyclocross. The stiffness helps in efficient power transfer from the pedals to the wheels during sprinting, while compliance allows for a smoother ride on rough terrain.
4. Downhill Mountain Biking: A stiff frame is required in downhill mountain biking as it enhances stability and handling required for high speeds and rough terrain. Higher stiffness results in more precise steering, more control over the bike and a better overall experience.
5. Trail Riding: A frame that has some stiffness but also offers flexibility is ideal for trail riding. Such frames offer the required stability and control, while also providing enough comfort for going on long rides.
Overall, optimizing frame stiffness is a complex process and requires a balance of stiffness, comfort, and flexibility depending on the requirements of the riding area.
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