How does the view-independence of radiosity increase the calculations involved? In the style of trichoplax' question, I want to talk about yet another Wikipedia article: Radiosity (computer graphics). The article states:


  Radiosity is viewpoint independent, which increases the calculations involved, but makes them useful for all viewpoints.


The technique works with diffuse surfaces only. This way, form factors can be precalculated and are independent of the viewer. The lighting needs to be updated only if some light source changed. If, on the other hand, the technique would support specular reflection, the form factors would depend on the viewer. Form factors and lighting would need to be updated constantly when the camera moves.

How does the limitation to diffuse surfaces increase calculations? Diffuse surfaces need to take light from all directions into account, which is more complex than taking light only from a smaller specular lobe. Is this what this sentence means? Is it just me or should this be rephrased?
While it may not entirely clear from the formulation of the wikipedia article, the author raises an important issue: In contrast to many other approaches, Radiosity needs to perform its calculations for all existing patches, not only the visible ones.
It is not the limitation to diffuse surfaces that increases the involved computations, but the fact that radiance is computed for all surfaces in the entire scene, not only the visible ones.

This is in strong contrast to other global illumination techniques like path-tracing, where radiance is computed only for visible samples. While the view-paths may still reach every point of the scene, there might be parts of a scene that are never reached by any view-rays/paths. Therefore, there are no computations at all. Comparing with local GI the "problem of viewpoint independence" its even more apparent.

On the other hand, as the Wikipedia article suggests, this may also be seen as a very useful property, since the computations do not need to be performed for each different viewpoint. This is not the case for most other techniques.