Publications & Preprints

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Author Title Type Year(Desc)
1998
Driscoll, T. A., & Vavasis, S. A.. (1998). Numerical conformal mapping using cross-ratios and Delaunay triangulation. SIAM J. Sci. Comput., 19, 1783-1803.
1999
Vavasis, S. A.. (1999). Convex Optimization. In Algorithms and Theory of Computation Handbook. CRC Press.
Vavasis, S.. (1999). A note on efficient computation of the gradient in semidefinite programming.
2000
Bobrovnikova, E., & Vavasis, S.. (2000). A Norm Bound for Projections with Complex Weights. Linear Algebra and its Applications, 307, 69-75.
Mitchell, S. A., & Vavasis, S. A.. (2000). Quality Mesh Generation in Higher Dimensions. SIAM J. Computing, 29, 1334-1370.
2001
Bobrovnikova, E. Y., & Vavasis, S. A.. (2001). Accurate Solution of Weighted Least Squares by Iterative Methods. SIAM J. Matrix Anal. App., 22, 1153-1174.
2003
Vavasis, S.. (2003). A Bernstein-Bézier Sufficient Condition for Invertibility of Polynomial Mappings.
Papoulia, K., Vavasis, S., & Sam, C. - H.. (2003). Time continuity in cohesive finite element modeling. International J. Numer. Meth. Eng., 58, 679-701.
2005
Jónsson, G., & Vavasis, S.. (2005). Accurate solution of polynomial equations using Macaulay resultant matrices. Mathematics of Computation, 74, 221-262.
Sam, C. - H., Papoulia, K., & Vavasis, S.. (2005). Obtaining initially rigid cohesive finite element models that are temporally convergent. Engineering Fracture Mechanics, 72, 2247-2267.
Howle, V. E., & Vavasis, S. A.. (2005). An iterative method for solving complex-symmetric systems arising in electrical power modeling. SIAM J. Matrix Analysis App., 26, 1150-1178.
Jónsson, G., & Vavasis, S.. (2005). Solving polynomials with small leading coefficients. SIAM J. Matrix Analysis App., 26, 400-414.
2008
Srijuntongsiri, G., & Vavasis, S. A.. (2008). A Condition Number Analysis of a Line-Surface Intersection Algorithm. SIAM J. Sci. Comput., 30, 1064-1081.
Biggs, M., Ghodsi, A., & Vavasis, S. A.. (2008). Nonnegative matrix factorization via rank-one downdating. In Proceedings of the 2008 International Conference on Machine Learning.

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