The algebraic eigenvalue problem
The algebraic eigenvalue problem
The computation of polynomial greatest common divisors over an algebraic number field
Journal of Symbolic Computation
An analysis of the subresultant algorithm over an algebraic number field
ISSAC '91 Proceedings of the 1991 international symposium on Symbolic and algebraic computation
Approximate GCD and its application to ill-conditioned algebraic equations
ISCM '90 Proceedings of the International Symposium on Computation mathematics
On a modular algorithm for computing GCDs of polynomials over algebraic number fields
ISSAC '94 Proceedings of the international symposium on Symbolic and algebraic computation
The singular value decomposition for polynomial systems
ISSAC '95 Proceedings of the 1995 international symposium on Symbolic and algebraic computation
Selected papers presented at the international IMACS symposium on Symbolic computation, new trends and developments
Detection and validation of clusters of polynomial zeros
Journal of Symbolic Computation - Special issue: validated numerical methods and computer algebra
On approximate GCDs of univariate polynomials
Journal of Symbolic Computation - Special issue on symbolic numeric algebra for polynomials
Remarks on automatic algorithm stabilization
Journal of Symbolic Computation - Special issue on symbolic numeric algebra for polynomials
Accuracy and Stability of Numerical Algorithms
Accuracy and Stability of Numerical Algorithms
IEEE Transactions on Signal Processing
QR factoring to compute the GCD of univariate approximate polynomials
IEEE Transactions on Signal Processing
A new Gröbner basis conversion method based on stabilization techniques
Theoretical Computer Science
Reducing exact computations to obtain exact results based on stabilization techniques
Proceedings of the 2009 conference on Symbolic numeric computation
Selecting lengths of floats for the computation of approximate Gröbner bases
Journal of Symbolic Computation
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Shirayanagi and Sweedler proved that a large class of algorithms over the reals can be modified slightly so that they also work correctly on fixed-precision oating-point numbers. Their main theorem states that, for each input, there exists a precision, called the minimum converging precision (MCP), at and beyond which the modified "stabilized" algorithm follows the same sequence of instructions as that of the original "exact" algorithm. Bounding the MCP of any non-trivial and useful algorithm has remained an open problem. This paper studies the MCP of an algorithm for finding the GCD of two univariate polynomials based on the QR-factorization. We show that the MCP is generally incom-putable. Additionally, we derive a bound on the minimal precision at and beyond which the stabilized algorithm gives a polynomial with the same degree as that of the exact GCD, and another bound on the minimal precision at and beyond which the algorithm gives a polynomial with the same support as that of the exact GCD.