The Basic tools of Wieta Temarkon.
First you have Temarkon.
Which comprises of 4 basic sets of Bases
23 Hindu (Power Series)
32 Hindu (Power Series)
&
23 BiJective (Geometric Series)
32 BiJective (Geometric Series)
These 2 sets are closely related and...
I believe are relevant to the natural patterns of numbers. If
you had floating point logarithms derived from these bases then you could I'm pretty certain go straight down the middle of the Prime Number distribution without much more effort you certainly would at the very least get a very close estimate of Prime Nth although so far I have only deduced Floor(Log[23or32,N]) not the full log.
Then you have Zequeba.
Zequeba represents a function for dealing with all the issues relating to the digits of Temarkon representation. It's kinda my Digit Play function.
Then you have Totarngular.
Totarngular is where you count relative to Algebraic geometries in a given dimension.
I achieve this by counting with as many numbers as there are dimensions I am counting in.
so in 2D relative to the Triangle Numbers so far I can do upto 6D but heres 2D.
inp 1 out {1,1}, inp 2 out {1,2}, inp 3 out {2,1}, inp 4 out {1,3}....
And with Totarngular Triangle Number dim 2 you can do the reverse and input your 2 output numbers and output your your original number thus at least as far as integers are concerned your 2 numbers have congruence and together they have equality and parity with your original input number.
TheQ.
A very simple Q is this.
so -1=-2 and 0 =0 and 1=2.
In this Q no Input number can go between -2 and 2.
Dynaveo
Dynaveo is like a parallizible self playing piano that can alter the note sheet.
first you have a test from tests list then is the conditions of the test are meet you skip say 2 slots on either of the operations lists which can go round like a clock. Depending on what has happened you event can either tell another dynaveo to change alter operation list or the rule list or it can output to the output list ready for when the dynaveo is called to give current output.
Dynaveo is more powerful than neural netting as is more open It can mimic a neuron better than a standardised neural net(with no way near as much efficiency more ideal for modelling individual neural activity) but it can also do a lot more computer like stuff.
Relationship and Tie.
Relationship and tie is a VIVD function like Dynaveo but it's more for modelling systems at the base either for assembly coded engines or for IC development.
R&T is Ultra CISC'y and highly parrallelizable.
You have a set of piecewise bitwise functions that are Tied and that can relate.
The input can be varied of 2 binary digits per digit representation and separated and opp coded
From this the idea is to model a system which does Wieta well via 6 to 12 steps of R&T.
I hope one day to unify Wieta Temarkon as to have a powerful enabling tool set running well on my computer I certainly always am working on the functionality of what I have.