Stephen Vavasis
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Assistant Professor
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Ph.D., Stanford University, 1989
Research Interests
As computer hardware technology becomes more powerful, there is a
corresponding growth in the demand for more efficient algorithms to solve
large-scale numerical problems. My research is on the design and analysis of
such algorithms. One area of interest is algorithms and complexity issues for
nonlinear optimization. or example, some recent work focuseson approximation
algorithms, that is, algorithms that are guaranteed to solve an optimization
problem to within some factor of optimal. Other results on optimization are
contained in a recent book on the subject publised by Oxford University Press.
I am also interested in computational aspects of differential equations. New
recent work shows that traditional algorithms for a class of problems arising
in differential equations and electrical networks can be unstable, ut a new
method gives the correct answer. With Scott Mitchell of Cornell I have worked
on the problem of generating meshes for finite element analysis. The goal of
this research is on meshes for which various bounds may!
be established. With Gary Mille
Selected Publications
Miller, G. L., and S. A. Vavasis. Density graphs and separators.
Proceedings, SIAM-ACM Symposium on Discrete Algorithms, 1991.
Miller, G. L., S.-H. Teng, and S. A. Vavasis. A unified geometric
approach to graph separators. Proceedings, 1991, Symposium on
the Foundations of Computer Science.
Mitchell, S. A. and S. A. Vavasis. Quality mesh generation
in three dimensions, Proceedings, ACM Symposium on Computational
Geometry 1992.
Stern, J. M., and S. A. Vavasis. Nested dissection for sparse
nullspace bases. Cornell C.S. TR 90-1173 and SIAM Journal on
Matrix Analysis, to appear.
Vavasis, S. A. Approximation algorithms for quadratic programming.
Cornell C.S. TR 90-1172 and Recent Advances in Global
Optimization, Princeton University Press, 1992.
Vavasis, S. A. Preconditioners for boundary integral equations.
Proceedings, Copper Mountain Conference on Iterative Methods, 1990.
SIAM Journal on Matrix Analysis, to appear.
Vavasis, S. A. Numerical Optimization: Complexity Issues.
Oxford University Press, 1991.