On the Use of Directed Cutsets to Reveal Structure for Efficient Automatic Differentiation of Multivariate Nonlinear Functions
نویسنده
چکیده
This paper is concerned with the efficient computation of Jacobian matrices of nonlinear vector maps using automatic differentiation (AD). Specificially, we propose the use of a directed cutset method, weighted minimum cut, to exploit the structure of the computional graph of the nonlinear system. This allows for the efficient determination of the Jacobian matrix using AD software. We discuss the results of numerical experiments significant practical potential of this approach.
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