Hankel matrices and computer algebra
ACM SIGSAM Bulletin - Issue #93
Algorithms for computer algebra
Algorithms for computer algebra
Fast inversion of Hankel and Toeplitz matrices
Information Processing Letters
Solving Hankel systems over the integers
Journal of Symbolic Computation
Asymptotically fast computation of subresultants
ISSAC '97 Proceedings of the 1997 international symposium on Symbolic and algebraic computation
The Schur-Cohn algorithm revisited
Journal of Symbolic Computation
A fast version of the Schur-Cohn algorithm
Journal of Complexity
Sylvester—Habicht sequences and fast Cauchy index computation
Journal of Symbolic Computation
Subresultants of two Hermite-Laurent series
Journal of Symbolic Computation
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Schur's transforms of a polynomial are used to count its roots in the unit disk. These are generalized then by introducing the sequence of symmetric subresultants of two polynomials. Although they do have a determinantal definition, we show that they satisfy a structure theorem which allows us to compute them with a type of Euclidean division. As a consequence, a fast algorithm based on a dichotomic process and FFT is designed. We prove also that these symmetric subresultants have a deep link with Toeplitz matrices. Finally, we propose a new algorithm of inversion for such matrices. It has the same cost as those already known; however it is fraction free and consequently well adapted to computer algebra.