The development of fast cellular pattern transformation algorithms using virtual boundaries
In [1,2,4] it is shown that the development of (fast) d-dimensional cellular pattern transformation algorithms can be done by reducing the pattern transformation problem to an appropriate language recognition problem where a new type of d-dimensional words and languages with an appropriate recognition process is introduced. Unfortunately, the resulting languages often are not very well suited to the application of well known and (meanwhile) standardized cellular techniques. Here we present a systematic method, how additional information can be added to the words to be recognized in order to facilitate the application of these techniques. The with-additional-information recognizing process can be converted algorithmically into a without-additional-information recognizing one.
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