September 8, 2022: Strict Bounds and Staticy,Statistical Cylinders
As I continue to attempt my autonomous maneuver of the following in my mathemagic space travels, the next paragraph down talks about strict bounds.
Strict bounds according to this are essentially precisely stated inequalities that show acceptability of a series of models that fit the constraints of a function.
This wasn't particularly interesting. What was interesting however, was towards the end (oh how the mathematicians like to test who's a ride or die). The shapes with the least spikes and lower data points generally have the tightest formulas for strict bounds. The more information that fits a given model however, the more difficult it is to create a strict bound. I must admit, the bit at the end was very curious to me. Essentially, the more information fits but the higher the variety, the more you should vouch for a supersolution (??). They tend to rely on second order variables as well as calculus based rate of changes to describe the change in models themselves.
Which one our garden of hypersurfaces fits is yet to be revealed...much less even what, really, a hypersurface is most applicable to...I guess that's on my outside venturing.
Also, I have never played the eternal cylinder, so I cannot vouch for contents, but this is a cool sci-fi title to suffice for a cylinder with a lot of signals going off in every direction while a radar wheel does a loopdy loop.