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The best values of the control parameters are determined iteratively by assigning some values to them, constructing the associated pandect, verifying the correctness of its predictions, reassigning the values, and continuing this sequence of steps until one arrives at a pandect with highly accurate predictions.
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On continuing this, we generate a sequence ({hx_{n}}_{n=1}^{infty}) as follows: (Sx_{n}=hx_{n+1}) for each n.
By continuing this, we generate a sequence ({hx_{n}}_{n=1}^{infty}) as follows: (Sx_{n}=hx_{n+1}) for each n.
Continuing this process, we construct sequences {x n }, {y n }, and {z n } in X such that g x n + 1 = F ( x n, y n, z n ), g y n + 1 = F ( y n, x n, z n ), and g z n + 1 = F ( z n, y n, x n ).
Continuing this process yields an infinite sequence of nested intervals, labeled by an infinite sequence of digits b0, b1, b2, b3,..., and one writes :x = b_0.b_1b_2b_3 \dots.
Continuing this procedure we get a sequence satisfying (3.2).
Continuing this process, we get a sequence in, such that and (2.10).
Continuing this process, we obtain a sequence ({y_{n}}) in B such that (d y_{n+1},Ty_{n})=d(A,B)).
Continuing this process successively yields a sequence of solutions satisfying (3.12).
Continuing this process, we construct a sequence (x n ) in X such that x2n= Tx2n+1all x2n+1= Sx2n+2for all n ∈ N ∪ {0}.
Continuing this process, we obtain a sequence ({x_{n}}) in A, such that (d(x_{n+1},Tx_{n})=d(A,B)).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com