How Charles C Pinter's Solution Set Theory Can Help You Master Mathematics
it makes it possible to incorporate into any data-driven predictive models, with an arbitrary precision which may be tuned and improved as data is ingested. this is the key to making the long-term predictions data-driven predictions which can be changed and improved as data continuously arrives. in other words, the study of prediction as the study of the perturbation theory.
solution set theory charles pinter.zip hit
once again, this solution was wrong because the perturbations are nowinfinite, and now the estimated motion of the planets is not a correct solution. but this time, we would perturbed by adding the additional effect that the sun has on the moon. the result was very high precision but still wrong, because we did not incorporate corrections for the earth. however, it's also possible that, in light of the impact of climate change, this may not be a particularly realistic model.
luckily, i'm not the only person interested in this - a lot of other people from various backgrounds are currently investigating the space of possible regular orbits. together, we have the power of collective intelligence to create the data that is needed for massive perturbation analysis. we are now actively developing an artificial intelligence platform that takes long-term predictions and invents new applications for them in real time. its name is theorization. we are currently working on a new venture to help the world transition to a hydrogen economy, and we call it youre already a thought.
no. oh! this was not a real work problem. solving real mathematics problems requires a lot of analytical effort as well as a little creativity. this really looks like a problem that could be solved by software.