Hi Alexey,
I ran a test on the current version 2.2. The scenarios are the facade of a small building. So, with the same set of cameras, all with precise coordinates and the check marked, it aligned perfectly with a global error of 0.016m. After that, I loaded the same cameras into a new project, disabled a random group of 30% and aligned the same set. The cameras with coordinates produced a global error of 0.017m, but the disabled group was completely wrong. I created markers to check the deviation and optimize, and found errors in the order of 700 error (pix).
The solution adopted was to misalign the group of wrong cameras, optimize the set and then manually align in small groups. Even without markers, they align perfectly, but it is a lot of rework and a long time to align 20 photos at a time, taking more than several minutes.
cameras without coordinates within a set with cameras with GPS have difficulty aligning in version 2.2, in version 1.86 it aligned perfectly, regardless of the number of images without coordinates with check or even without coordinates informed.