Dissertation/Thesis

On probabilistic analysis of randomization in hybrid symbolic-numeric algorithms

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: On probabilistic analysis of randomization in hybrid symbolic-numeric algorithms
Συγγραφείς: Erich Kaltofen, Zhengfeng Yang
Συνεισφορές: The Pennsylvania State University CiteSeerX Archives
Πηγή: http://www4.ncsu.edu/~kaltofen/bibliography/07/KYZ07.pdf.
Στοιχεία εκδότη: ACM Press
Έτος έκδοσης: 2007
Συλλογή: CiteSeerX
Θεματικοί όροι: Categories and Subject Descriptors, I.2.1 [Computing Methodologies, Symbolic and Algebraic Manipulation —Algorithms, G.1.2 [Mathematics of Computing, Numerical Analysis—Approximation General Terms, algorithms, theory, experimentation Keywords, multivariate rational function, interpolation, sparse polynomial
Περιγραφή: Algebraic randomization techniques can be applied to hybrid symbolic-numeric algorithms. Here we consider the problem of interpolating a sparse rational function from noisy values. We develop a new hybrid algorithm based on Zippel’s original sparse polynomial interpolation technique. We show experimentally that our algorithm can handle sparse polynomials with large degrees. We also give a (partial) mathematical justification why the Zippel’s algebraic randomization technique can be used with our approximate data: the randomly generated non-zero values are expected to be bounded away from zero. We show that the random Fourier-like matrices arising in our algorithm, have the desired rank property in the exact case, and appear usable numerically. Furthermore, we show that Sylvester matrices of polynomials with nonidentically distributed random coefficients have large condition numbers. That phenomenon has precluded several algebraic randomization techniques from use in the approximate hybrid setting.
Τύπος εγγράφου: Thesis
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.63.5812; http://www4.ncsu.edu/~kaltofen/bibliography/07/KYZ07.pdf
Διαθεσιμότητα: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.63.5812
http://www4.ncsu.edu/~kaltofen/bibliography/07/KYZ07.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Αριθμός Καταχώρησης: edsbas.5136583
Βάση Δεδομένων: BASE
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  Data: On probabilistic analysis of randomization in hybrid symbolic-numeric algorithms
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  Data: <searchLink fieldCode="AR" term="%22Erich+Kaltofen%22">Erich Kaltofen</searchLink><br /><searchLink fieldCode="AR" term="%22Zhengfeng+Yang%22">Zhengfeng Yang</searchLink>
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  Data: <i>http://www4.ncsu.edu/~kaltofen/bibliography/07/KYZ07.pdf</i>.
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  Data: 2007
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  Data: Algebraic randomization techniques can be applied to hybrid symbolic-numeric algorithms. Here we consider the problem of interpolating a sparse rational function from noisy values. We develop a new hybrid algorithm based on Zippel’s original sparse polynomial interpolation technique. We show experimentally that our algorithm can handle sparse polynomials with large degrees. We also give a (partial) mathematical justification why the Zippel’s algebraic randomization technique can be used with our approximate data: the randomly generated non-zero values are expected to be bounded away from zero. We show that the random Fourier-like matrices arising in our algorithm, have the desired rank property in the exact case, and appear usable numerically. Furthermore, we show that Sylvester matrices of polynomials with nonidentically distributed random coefficients have large condition numbers. That phenomenon has precluded several algebraic randomization techniques from use in the approximate hybrid setting.
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    Subjects:
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        Type: general
      – SubjectFull: I.2.1 [Computing Methodologies
        Type: general
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      – SubjectFull: theory
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      – SubjectFull: multivariate rational function
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      – SubjectFull: interpolation
        Type: general
      – SubjectFull: sparse polynomial
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      – TitleFull: On probabilistic analysis of randomization in hybrid symbolic-numeric algorithms
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