New PDF release: Computer Algebra in Scientific Computing: 16th International

By Vladimir P. Gerdt, Wolfram Koepf, Werner M. Seiler, Evgenii V. Vorozhtsov

ISBN-10: 3319105140

ISBN-13: 9783319105147

ISBN-10: 3319105159

ISBN-13: 9783319105154

This ebook constitutes the complaints of the sixteenth overseas Workshop on machine Algebra in medical Computing, CASC 2014, held in Warsaw, Poland, in September 2014. The 33 complete papers provided have been conscientiously reviewed and chosen for inclusion during this book.
The papers deal with matters similar to experiences in polynomial algebra are represented via contributions dedicated to factoring sparse bivariate polynomials utilizing the concern queue, the development of irreducible polynomials through the use of the Newton index, actual polynomial root discovering through matrix and polynomial iterations, software of the eigenvalue technique with symmetry for fixing polynomial platforms bobbing up within the vibration research of mechanical constructions with symmetry houses, software of Gröbner structures for computing the (absolute) relief variety of polynomial beliefs, the applying of cylindrical algebraic decomposition for fixing the quantifier removal difficulties, certification of approximate roots of overdetermined and singular polynomial platforms through the restoration of a precise rational univariate illustration from approximate numerical information, new parallel algorithms for operations on univariate polynomials (multi-point assessment, interpolation) according to subproduct tree techniques.

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Additional info for Computer Algebra in Scientific Computing: 16th International Workshop, CASC 2014, Warsaw, Poland, September 8-12, 2014. Proceedings

Example text

For the ranked variant the following facts are known (see [1,10]): Constructive and destructive control by a removal or addition of alternatives is computationally hard, but for the constructive and destructive control by the removal or addition of voters there exist efficient algorithms. One says that plurality voting is resistant to control by manipulating the alternatives but vulnerable to control by manipulating the voters. For reasons of space we only consider control by a removal of alternatives.

However, there exist some difficulties that have been long known as inherent to these existing methods. Among them, two important limitations can be pointed out: these methods apply essentially to linear systems and they are noise sensitive due to the use of numerical derivation. The parameter estimation problem has been tackled by many different approaches in control theory. Algebraic techniques to this end were notably introduced in the works by M. Fliess et al. [8, 15, 7, 9, 6] and inspired for instance, algebraic methods for the parameter estimation of a multi-sinusoidal waveform signal from noisy data [22].

As relations of type A ↔ A. For the rows 1, 7, 11, 15, and 16 we show in the next pictures, in the same order, the Boolean matrices for the linear order relations ≥1 , ≥7 , ≥11 , ≥15 , and ≥16 . Note, that the relations ≥2 to ≥6 are equal to ≥1 , the relations ≥8 to ≥10 are equal to ≥7 , and so forth.                               19                                       Relation Algebra, RelView, and Plurality Voting             Now, the preferences of the single voters are easy to see: Voters 1 to 6 rank their alternatives from top to bottom as h, f, d, b, g, e, c, a, voters 7 to 10 as a, c, e, g, b, d, f, h, voters 11 to 14 as a, b, c, d, e, f, g, h, voter 15 as b, a, d, c, f, e, h, g, and the remaining voters 16 and 17 as h, g, f, e, a, b, c, d.

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Computer Algebra in Scientific Computing: 16th International Workshop, CASC 2014, Warsaw, Poland, September 8-12, 2014. Proceedings by Vladimir P. Gerdt, Wolfram Koepf, Werner M. Seiler, Evgenii V. Vorozhtsov


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