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Now I will describe how we use these transformations to efficiently simplify and improve large tetrahedral models.

The core of our algorithm is loop which iterates through the elements while the current tetrahedral count is greater than the target tetrahedral count. A subset of the elements is selected and reordered. Then, one at a time, we look for a transformation to improve or remove each element in the list.