Michael Saunders
Saunders develops mathematical methods for solving large-scale constrained optimization problems and large systems of equations. He also implements such methods as general-purpose software to allow their use in many areas of engineering, science, and business. He is co-developer of the large-scale optimizers MINOS, SNOPT, SQOPT, PDCO and the linear equation solvers SYMMLQ, MINRES, MINRES-QLP, LSQR, LSMR, LUSOL.
Stanford lab and program affiliations
- Systems Optimization Laboratory (SOL)
- Institute for Computational and Mathematical Engineering (ICME)
For a list of Saunders's publications, see his home page and his CV.
Classes taught
Last modified Sun, 26 Aug, 2012 at 0:32
| Title | Author(s) | Journal | Date |
|---|---|---|---|
| A variational principle for computing nonequilibrium fluxes and potentials in genome-scale biochemical networks | R. M. T. Fleming, C. M. Maes, M. A. Saunders, Y. Ye, and B. Ø. Palsson | J. Theoretical Biology | 01-2012 |
| LSMR: An iterative algorithm for sparse least-squares problems | D. C.-L. Fong and M. A. Saunders | SIAM J. Sci. Comput. | 01-2011 |
| MINRES-QLP: A Krylov subspace method for indefinite or singular symmetric systems | S.-C. T. Choi, C. C. Paige and M. A. Saunders | SIAM J. Sci. Comput. | 01-2011 |
| Stabilizing policy improvement for large-scale infinite-horizon dynamic programming | M. J. O'Sullivan and M. A. Saunders | SIAM J. Mat. Anal. Appl. | 01-2009 |
| Nonconservative robust control: Optimized and constrained sensitivity functions | C.-M. Fransson, T. Wik, B. Lennartson, M. A. Saunders, and P.-O. Gutman | IEEE Trans. Contr. Sys. Tech. | 01-2009 |
| Variational Bayesian image restoration based on a product of t-distributions image prior | G. Chantas, N. Galatsanos, A. Likas, and M. A. Saunders | IEEE Trans. Image Processing | 01-2008 |
| Discussion: The Dantzig selector: Statistical estimation when p is much larger than n | M. P. Friedlander and M. A. Saunders | Annals of Statistics | 01-2007 |
| SpaseLoc: An adaptive subproblem algorithm for scalable wireless sensor network localization | M. W. Carter, H. H. Jin, M. A. Saunders, and Y. Ye | SIAM J. on Optimization | 01-2006 |
| A globally convergent linearly constrained Lagrangian method for nonlinear optimization | M. P. Friedlander and M. A. Saunders | SIAM J. on Optimization | 01-2005 |
| Sparsity and smoothness via the fused lasso | R. Tibshirani, M. Saunders, S. Rosset, J. Zhu and K. Knight | J. Royal Statistical Society B | 01-2005 |
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- 1985 Orchard-Hays Prize, MPS
- 2004 ISI Highly Cited Researcher, Computer Science
- 2007 ISI Highly Cited Researcher, Mathematics
- 2007 Hon FRSNZ
- 2012 SIAM Linear Algebra Prize
- 2012 Stanford University Invention Hall of Fame
