Stephen Vavasis

Assistant Professor
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.