We will refer to this approach as the ''standard algorithm,'' because it is firmly rooted in textbook linear algebra and basic linear least-squares optimization, and utilized in many applications throughout the biophysical literature and physical sciences. We have introduced this approach previously into the SV analysis, and it underlies all size-distribution analyses in SEDFIT and SEDPHAT. If used without regularization, it provides exact solutions (within numerical precision) to the least-squares problem (3), and when used with regularization, the algorithms ensure that fits with statistically indistinguishable quality are obtained.