Rate My Professor Anne Greenbaum

Her research interests include nonnormal matrices and linear operators with connections to complex approximation theory, iterative methods for linear systems, and integral equations. Greenbaum co-authored the LAPACK Users’ Guide (SIAM, 1992), a cornerstone in high-performance computing. She authored Iterative Methods for Solving Linear Systems (SIAM, 1997) and co-authored Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms with Tim Chartier (Princeton University Press, 2012). As editor, she contributed to the Handbook of Linear Algebra (Chapman and Hall/CRC, 2007) and IMA Volumes in Mathematics: Recent Advances in Iterative Methods (Springer, 1994). Selected publications feature “Any Nonincreasing Convergence Curve is Possible for GMRES” (SIAM J. Matrix Anal. Appl., 1996), “Near Normal Dilations of Non-normal Matrices and Linear Operators” (SIAM J. Matrix Anal. Appl., 2016), and “First-Order Perturbation Theory for Eigenvalues and Eigenvectors” with Ren-Cang Li and Michael L. Overton. Her honors include the SIAM Activity Group on Linear Algebra Award for Outstanding Paper (1991–1993), B. Bolzano Honorary Medal for Merit in the Mathematical Sciences (Academy of Sciences of the Czech Republic, 1997), SIAM Fellow (2015), and AWM-SIAM Sonia Kovalevsky Lecturer (2022). Greenbaum's contributions have shaped numerical linear algebra profoundly.