A 1993 retrospective on the history of Singular Value Decomposition honors numerical analysis pioneers like Gene Golub, William Kahan, and Christian Reinsch for developing the practical SVD algorithm still used today. Accompanying reader discussions explore the mathematical intuition behind SVD, comparing it to generalized eigenvalues and explaining its utility in decomposing linear mappings into rotations and coordinate scaling.