@Article{Weinstein:2015:STO,
  author =       "Matthew J. Weinstein and Anil V. Rao",
  title =        "A Source Transformation via Operator Overloading Method
                  for the Automatic Differentiation of Mathematical
                  Functions in {MATLAB}",
  journal =      "{ACM} Transactions on Mathematical Software",
  volume =       "42",
  number =       "1",
  accepted =     "20 September 2014",
  upcoming =     "true", 
  abstract =     "
                  A source transformation via operator overloading method
                  is presented for computing derivatives of mathematical
                  functions defined by MATLAB computer programs. The
                  transformed derivative code that results from the method
                  of this paper computes a sparse representation of the
                  derivative of the function defined in the original code. As
                  in all source transformation automatic differentiation
                  techniques, an important feature of the method is that any
                  flow control in the original function code is preserved
                  in the derivative code.  Furthermore, the resulting
                  derivative code relies solely upon the native MATLAB
                  library. The method is useful in applications where it
                  is required to repeatedly evaluate the derivative of the
                  original function. The approach is demonstrated on several
                  examples and is found to be highly efficient when compared
                  with well known MATLAB automatic differentiation
                  programs.  ",
}