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# scipy.linalg.solve_banded

`scipy.linalg.``solve_banded`((l, u), ab, b, overwrite_ab=0, overwrite_b=0, debug=0)

  Solve the equation a x = b for x, assuming a is banded matrix.

  The matrix a is stored in ab using the matrix diagonal orded form:

      ab[u + i - j, j] == a[i,j]

  Example of ab (shape of a is (6,6), u=1, l=2):

      *    a01  a12  a23  a34  a45
      a00  a11  a22  a33  a44  a55
      a10  a21  a32  a43  a54   *
      a20  a31  a42  a53   *    *

  Parameters: | (l, u) : (integer, integer) Number of non-zero lower and upper diagonals ab : array, shape (l+u+1, M) Banded matrix b : array, shape (M,) or (M, K) Right-hand side overwrite_ab : boolean Discard data in ab (may enhance performance) overwrite_b : boolean Discard data in b (may enhance performance)
  Returns: | x : array, shape (M,) or (M, K) The solution to the system a x = b

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