2.3.2.1 Search for errors without adjustment
In case of big errors it can easily happen, that the adjustment results are falsified so strongly, that a divergence may arise. Then the corrections to the unknowns increase in every iteration and the standard deviations of unit weight s0 is permanently increasing as well. This could be the case when there are large gross errors. Another possible reason for divergence is that the approximations to the unknown parameters of the block are very poor. If, for example, a photograph is rotated by 200 gon, linearization is outside the range of convergence, so that no reasonable results can be expected. In such cases it may be helpful to use BINGO only to check the compatibility of measured values and approximate values.
The printed residuals are computed according to (2.3.2/1); therefore, v corresponds to the measured value after the value computed from the approximate unknowns has been subtracted. No adjustment is performed. The input parameter for the maximum number of iterations must be set to -1 for this test (or respectively 0 in the graphical user interface (GUI)).