Examples demonstrating optimisation in cmgui.

Examples demonstrating the optimisation capabilities of Cmgui. The gfx minimise command can be used to minimise a specified field. Depending on the minimisation method chosen, this field can be a scalar valued field or the values to be used in a least-squares minimisation.

The different minimisation methods currently available in Cmgui are:

QUASI_NEWTON: A quasi-Newton minimisation method from the Opt++ suite of nonlinear optimisation methods.
LEAST_SQUARES_QUASI_NEWTON: A Newton least-squares minimisation method from the Opt++ suite of nonlinear optimisation methods.

Opt++ includes many other methods that can be exposed via Cmgui if required. There is currently limited access to the configuration options of the Opt++ optimisers in Cmgui, but these can also be extended as required. Please submit tracker items for desired features that are not yet available.

Cmgui currently utilises a patched version of Opt++ revision 681 from https://software.sandia.gov/svn/public/optpp/optpp/trunk/ (see the README for the current status).

Examples are:

fitting-1D-linear. Fitting a 1-D linear mesh.
fitting-2D-linear. A two-dimensional surface fit using least-squares.
mesh-alignment. Aligning a mesh using landmarks.
mesh-alignment-c. Mesh alignment with the Cmgui C++ API.
smooth_volume_fitting. Least-squares volume fitting with smoothing.

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