Tweak-Engine
Best-Fitting the Continuous Parameters of Linear/Non-Linear Algorithmic Models of Arbitrarily Large Datasets with Extreme Accuracy “Tweaks” refer to the small changes of parameter values which are used to compute the numerical partial derivatives of an algorithmic model as the model converges on a best-fit of a given dataset. I called these analytics “Pseudoinverse System Analysis” (1983 – @ Honeywell MavD, Minneapolis,MN) and used them professionally for 35+ years; in applied mathematics these algorithms are an approach to “linear & non-linear…