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# scipy.linalg.lu_solve

`scipy.linalg.``lu_solve`(lu_and_piv, b, trans=0, overwrite_b=False, check_finite=True)

  Solve an equation system, a x = b, given the LU factorization of a

  > Parameters: | (lu, piv) Factorization of the coefficient matrix a, as given by lu_factor b : array Right-hand side trans : {0, 1, 2}, optional Type of system to solve:
  > trans | system
  > --- | ---
  > 0 | a x = b
  > 1 | a^T x = b
  > 2 | a^H x = b
  overwrite_b : bool, optional Whether to overwrite data in b (may increase performance) check_finite : bool, optional Whether to check that the input matrices contain only finite numbers. Disabling may give a performance gain, but may result in problems (crashes, non-termination) if the inputs do contain infinities or NaNs.
  Returns: | x : array Solution to the system

  See also

  `lu_factor`
    LU factorize a matrix