Some new formulas for .
Almkvist, Gert, Krattenthaler, Christian, Petersson, Joakim (2003)
Experimental Mathematics
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Almkvist, Gert, Krattenthaler, Christian, Petersson, Joakim (2003)
Experimental Mathematics
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Nahay, John Michael (2004)
International Journal of Mathematics and Mathematical Sciences
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Mc Laughlin, J., Sury, B. (2005)
Integers
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Miloslav Nekvinda (1989)
Aplikace matematiky
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The article is a survey on problem of the theorem of Hurwitz. The starting point of explanations is Schur's decomposition theorem for polynomials. It is showed how to obtain the well-known criteria on the distribution of roots of polynomials. The theorem on uniqueness of constants in Schur's decomposition seems to be new.
Krattenthaler, C. (1997)
The Electronic Journal of Combinatorics [electronic only]
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Mira Bhargava (1964)
Collectanea Mathematica
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Pakovich, F. (2007)
Integers
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Akritas, Alkiviadis, Malaschonok, Gennadi, Vigklas, Panagiotis (2013)
Serdica Journal of Computing
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In 1900 E. B. Van Vleck proposed a very efficient method to compute the Sturm sequence of a polynomial p (x) ∈ Z[x] by triangularizing one of Sylvester’s matrices of p (x) and its derivative p′(x). That method works fine only for the case of complete sequences provided no pivots take place. In 1917, A. J. Pell and R. L. Gordon pointed out this “weakness” in Van Vleck’s theorem, rectified it but did not extend his method, so that it also works in the cases of: (a) complete Sturm sequences...
Kane, Daniel, Sivek, Steven (2008)
The Electronic Journal of Combinatorics [electronic only]
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Didier Henrion, Jan Ježek, Michael Šebek (2002)
Kybernetika
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Discrete-time symmetric polynomial equations with complex coefficients are studied in the scalar and matrix case. New theoretical results are derived and several algorithms are proposed and evaluated. Polynomial reduction algorithms are first described to study theoretical properties of the equations. Sylvester matrix algorithms are then developed to solve numerically the equations. The algorithms are implemented in the Polynomial Toolbox for Matlab.