ADMIT-1 enables the computation of sparse Jacobian and Hessian matrices, us
ing automatic differentiation technology, from a MATLAB environment. Given
a function to be differentiated, ADMIT-1 will exploit sparsity if present t
o yield sparse derivative matrices (in sparse MATLAB form). A generic autom
atic differentiation tool, subject to some functionality requirements, can
be plugged into ADMIT-1; examples include ADOL-C (C/C++ target functions) a
nd ADMAT (MATLAB target functions). ADMIT-1 also allows for the calculation
of gradients and has several other related functions. This article provide
s an introduction to the design and usage of ADMIT-1.