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Right now the variable mappings are simply a find/replace, but some algorithms, like model order reduction or Lamperti transformations, will need more intense transformations, like multiplying by the low rank approximation of some matrix. Systems might need to keep a mapping function from canonical variables to latent space. Also, it would be good to have this exposed so users could call it on the output of solve
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