when you have expressed terms as something else usually by solution…you have more or less the tensor or full translation of what the terms are.
you want to encrypt that as a different set/equation to mask the original terms, this protects it from being meddled with under other provisions such as having a calculation being used in two places, you don't want a mis-read on either of those outcomes, that pollutes the source information and causes corruption per "distribution of said information".
It's more of a computing problem than anything but sometimes the weights in which the calculation or "logistics" can effect the overall readouts which corrupt further down the chain of computing that does take place over these equations, encryption is important. A solid encryption such as tensor encryption is one of the best types. But requires a very deep render of the original source information so its a little more complex than cryptic or other "morse" conversions, not by much because most encryptions can also be broken anyway. It is just an added layer of security incase of corruption taking place in data analysis (by having multiple reads change up the actual outcomes) This type of computation helps immensely in stabilizing things like overclocking…but I'm just fucking high or something.