Results 11 to 20 of about 5,078 (233)

Sparsity Considerations in Dixon Resultants

open access: yesProceedings of the twenty-eighth annual ACM symposium on Theory of computing - STOC '96, 1996
New results relating the sparsity of nonhomogeneous polynomial systems and computation of their projection operator (a non-trivial multiple of the multivariate resultant) using Dixon's method are developed.
Deepak Kapur, Tushar Saxena
core   +2 more sources

Extraneous Factors in the Dixon Resultant Formulation

open access: yesProceedings of the 1997 international symposium on Symbolic and algebraic computation - ISSAC '97, 1997
Elimination methods based on generalizations of the Dixon's resultant formulation have been demonstrated to be efficient for simultaneously eliminating many variables from polynomials. One of these methods, presented by the authors earlier, was even
Deepak Kapur, Tushar Saxena
core   +2 more sources

Solving Robust Glucose-Insulin Control by Dixon Resultant Computations [PDF]

open access: yes2012 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2012
We present a symbolic approach towards solving the Bergman three-state minimal patient model of glucose metabolism. Our work first translates the Bergman three-state minimal patient model into the modified control algebraic Riccati equation.
Kovács, Laura   +5 more
core   +3 more sources

Algebraic and Geometric Reasoning using Dixon Resultants

open access: yesProceedings of the international symposium on Symbolic and algebraic computation - ISSAC '94, 1994
Dixon's method for computing multivariate resultants by simultaneously eliminating many variables is reviewed. The method is found to be quite restrictive because often the Dixon matrix is singular, and the Dixon resultant vanishes identically ...
Lu Yang, Deepak Kapur, Tushar Saxena
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On the efficiency and optimality of Dixon-based resultant methods [PDF]

open access: yesProceedings of the 2002 international symposium on Symbolic and algebraic computation, 2002
Structural conditions on polynomial systems are developed for which the Dixon-based resultant methods often compute exact resultants. For cases when this cannot be done, the degree of the extraneous factor in the projection operator computed using the Dixon-based methods is typically minimal.
Deepak Kapur, Arthur D. Chtcherba
core   +2 more sources

Cayley-Dixon resultant matrices of multi-univariate composed polynomials

open access: yes, 2005
. The behavior of the Cayley-Dixon resultant construction and the structure of Dixon matrices are analyzed for composed polynomial systems constructed from a multivariate system in which each variable is substituted by a univariate polynomial in a ...
Deepak Kapur   +2 more
core   +2 more sources

Fast computation of the Bezout and Dixon resultant matrices

open access: yesJournal of Symbolic Computation, 2002
10.1006/jsco.2001.0462Journal of Symbolic Computation33113 ...
Goldman, R.N.   +5 more
core   +3 more sources

Dixon resultant theory for stability analysis of distributed delay systems and enhancement of delay robustness

open access: yesJournal of the Franklin Institute, 2022
This study scrutinizes the stability problem of linear time-invariant feedback control systems with a constant-coefficient, partial delay distribution from a new perspective, which is built on an equivalence between the system of interest and the one ...
Cai, J.   +5 more
core   +4 more sources

Resultants for unmixed bivariate polynomial systems produced using the Dixon formulation

open access: yesJournal of Symbolic Computation, 2004
A necessary and sufficient condition on the support of a generic unmixed bivariate polynomial system is identified such that for polynomial systems with such support, the Dixon resultant formulation produces their resultants.
Chtcherba, A.D.   +3 more
core   +3 more sources

Checking RSC criteria for extended Dixon resultant by interpolation method

open access: yesSeventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05), 2005
Dixon resultant method can eliminate many variables simultaneously. It is often used to solve a system of polynomial equations. However, the Dixon matrix is often singular, and the Dixon resultant vanishes identically yielding no information about solutions for many algebraic and geometry problems.
Yaohui Li, Yong Feng
core   +2 more sources

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