Biographical and Bibliographic
Information
Professor Adams' research is a combination of numerical analysis and computer science. Recent projects have involved the solution of partial differential equations using iterative methods on a variety of parallel computer architectures and the theoretical development and practical implementation of methods for solving algebraic eigenvalue problems. She also works closely with a computer science group that is interested in developing portable but efficient languages for distributed memory parallel machines. Professor Adams is a dedicated and challenging teacher who enjoys giving courses in numerical analysis, parallel computation, and complex variables and doing research with graduate students. One of her doctoral students was honored to receive the Householder Prize for best dissertation on numerical linear algebra. Professor Adams' hobbies include tennis, skiing, backpacking, and killer croquet! A selection of her publications follows.
A Comparison of Techniques for Solving Ill-Conditioned Problems Arising from the Immersed Boundary Method, Proceedings of Symposia in Applied Mathematics, Vancouver, CA, Aug. 1993. (With Z. Yang)
Additive Polynomial Preconditioners for Parallel Computers, Parallel Computing, 9, pp. 333-345, 1989. (with M.E.G. Ong)
Analysis of the SOR Iteration for the 9-Point Laplacian, SIAM J. Num. Analysis, 25, No. 5, pp. 1156-1180, 1988. (with R. LeVeque and D. Young)
Is SOR Color-Blind?, SIAM J. Sci. and Stat. Computing, 7, No. 2, pp. 490-506, 1986. (with H. Jordan)
M-Step Preconditioned Conjugate Gradient Methods, SIAM J. Sci. and Stat. Computing, 6, pp. 452-462, 1985.