The Mad package described here facilitates the evaluation of first derivatives of multidimensional functions that are defined by computer codes written in MATLAB. The underlying algorithm is theâ€¦ (More)

We present MSAD, a source transformation implementation of forward mode automatic differentiation for MATLAB. MSAD specialises and inlines operations from the fmad and derivvec classes of the MADâ€¦ (More)

This article presents the first extended set of results from EliAD, a source-transformation implementation of the vertex-elimination Automatic Differentiation approach to calculating the Jacobians ofâ€¦ (More)

The MATLAB program bvp4c solves two--point boundary value problems (BVPs) of considerable generality. The numerical method requires partial derivatives of several kinds. To make solving BVPs as easyâ€¦ (More)

The design of a satellite boom using passive vibration control by Keane [J. of Sound and Vibration, 1995, 185(3),441-453] has previously been carried out using an energy function of the designâ€¦ (More)

We study two aspects of the vertex elimination algorithm in c alculating Jacobians. First, we used Markowitzlike heuristics aiming at minimising the number of floatingpoint operations to findâ€¦ (More)

Presently, the MAD Automatic Differentiation package for matlab comprises an overloaded implementation of forward mode AD via the fmad class. A key design feature of the fmad class is a separation ofâ€¦ (More)

We have used Automatic Differentiation to linearise a timedependent CFD solver that is written in Fortran 95 and features mesh movement. The CFD code simulates a small device that generates aâ€¦ (More)