The Structure of Sparse Resultant Matrices

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The Structure of Sparse Resultant Matrices
Resultants characterize the existence of roots of systems of multivariate nonlinear polynomial equations, while their matrices reduce the computation of all common zeros to a problem in linear algebra. Sparse elimination theory has introduced the sparse resultant, which takes into account the sparse structure of the polynomials. The construction of sparse resultant, or Newton, matrices is a critical step in the computation of the resultant and the solution of the system. We exploit the matrix structure and decrease the time complexity of constructing such matrices to roughly quadratic in the matrix dimension, whereas the previous methods had cubic complexity. The space complexity is also decreased by one order of magnitude. These results imply similar improvements in the complexity of computing the resultant itself and of solving zero-dimensional systems. We apply some novel techniques for determining the rank of rectangular matrices by an exact or numerical computation. Finally, we i...
Ioannis Z. Emiris, Victor Y. Pan
Added 08 Aug 2010
Updated 08 Aug 2010
Type Conference
Year 1997
Authors Ioannis Z. Emiris, Victor Y. Pan
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