- Ph.D., Stanford University
- M.S., Stanford University
- B.S., Case Institute of Technology
Stanley Eisenstat's major research interests include numerical linear and nonlinear algebra, direct and iterative methods for solving sparse linear systems, and parallel computing.
He serves as an associate editor of the Journal of the ACM and is a member of the editorial board of the SIAM Journal on Matrix Analysis and Applications.
- "An Efficient Algorithm for Computing a Strong Rank-Revealing QR Factorization," with M. Gu, SIAM Journal on Scientific Computing, 17(4), July 1996.
- "Relative Perturbation Techniques for Singular Value Problems," with I.C.F. Ipsen, SIAM Journal on Numerical Analysis 32(5):1972-1988, October 1995.
- "Globally Convergent Inexact Newton Methods," with H.F. Walker, SIAM Journal on Optimization 4(2):393-422, May 1994.
- "The Theory of Elimination Trees for Sparse Unsymmetric Matrices", with Joseph W. H. Liu, SIAM Journal on Matrix Analysis 26(3):686-705, March-April 2005.