[Math] “Must read” papers in numerical analysis

big-listna.numerical-analysisreference-requestsoft-question

In 1993, Prof. L.N. Trefethen published a NA-net posting with a list of thirteen paper he used for teaching the seminar Classic Papers in Numerical Analysis.
In Trefethen's words, … this course provided a satisfying vison of the broad scope of numerical analysis and the sense of excitement at what a diversity of beautiful and powerful ideas have been invented in this field.

Prof. Trefethen's list (links):

  1. Cooley & Tukey (1965) the Fast Fourier Transform
  2. Courant, Friedrichs & Lewy (1928) finite difference methods for PDE
  3. Householder (1958) QR factorization of matrices
  4. Curtiss & Hirschfelder (1952) stiffness of ODEs; BD formulas
  5. de Boor (1972) calculations with B-splines
  6. Courant (1943) finite element methods for PDE
  7. Golub & Kahan (1965) the singular value decomposition
  8. Brandt (1977) multigrid algorithms
  9. Hestenes & Stiefel (1952) the conjugate gradient iteration
  10. Fletcher & Powell (1963) optimization via quasi-Newton updates
  11. Wanner, Hairer & Norsett (1978) order stars and applications to ODE
  12. Karmarkar (1984) interior pt. methods for linear prog.
  13. Greengard & Rokhlin (1987) multipole methods for particles

Most readers of this note, according Prof. Trefethen, will have thought of other classic authors and papers that should have been on the list.

The question is: In your opinion, what are other classic authors and papers that should be in a must read list of papers in numerical analysis?

Best Answer

Metropolis N, Ulam S (1949) The Monte Carlo method J. Am. Stat. Assoc. 44:335-341

Marsaglia G (1968) Random numbers fall mainly in the planes. Proc. Natl. Acad. Sci. USA 61:25-28