In the proposed paper one of the approaches to automation of the
gradient descent method based on the pre-calculated local geometrical characteristics
of space of a function is considered. We represent the local geometrical
characteristics by a set of voxel images co-dimensional to this space. Computer
geometrical models obtained by means of the Functional Voxel method form the
informational basis for the algorithm. The main principles of the gradient motion
control along with the peculiarities of the conversion to increase the problem
dimensionality are demonstrated. The detected advantages of the algorithm
allow to extend the usage of such approach from the mathematical programming
problems towards the local optimization on the example of laying the route for
the steepest descent.