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      The best known asymptotic bit complexity bound for factoring univariate
      polynomials over finite fields grows with the input degree to a power
      close to  , and with the
      square of the bitsize of the ground field. It relies on a variant of the
      Cantor–Zassenhaus algorithm which exploits fast modular
      composition. Using techniques by Kaltofen and Shoup, we prove a
      refinement of this bound when the finite field has a large extension
      degree over its prime field. We also present fast practical algorithms
      for the case when the extension degree is smooth.
, and with the
      square of the bitsize of the ground field. It relies on a variant of the
      Cantor–Zassenhaus algorithm which exploits fast modular
      composition. Using techniques by Kaltofen and Shoup, we prove a
      refinement of this bound when the finite field has a large extension
      degree over its prime field. We also present fast practical algorithms
      for the case when the extension degree is smooth.
    
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