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Use case type analysis of the process.

A.5: The limiting distribution is viewed via CCG methodology

A.5.1: The standard CCG methodology is linear and assumes a regular limiting distribution.

A.5.1.1: The standard CCG technique finds a coloring patterning and modules (related in the number of columns in the grid), such that a principle of Superdistribution can be used to prove a specific theorem using the limiting distribution.

A.5.1.2: Coloring pattern and modules is specific to the theorem in question

A.5.1.3: Given a limiting distribution that is metastable (a pattern is repeated) or stable (one condition is show to exist always beyond a certain point), then a theorem exists.

A.5.2: A non-linear CCG technique might have a grid of dimension higher than 2, as well as transformation operators that are statistical.

A.5.3: A non-linear CCG technique might have a a variation of the number of columns in each row. If the sequence of numbers of rows has a stable superdistribution, then a dual induction can be made if there is a pattern in the rows.