Efficient path tracking methods

Path tracking is the fundamental computational tool in homotopy continuation and is therefore key in most algorithms in the emerging field of numerical algebraic geometry. Though the basic notions of predictor-corrector methods have been known for years, there is still much to be considered, particu...

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Published inNumerical algorithms Vol. 58; no. 4; pp. 451 - 459
Main Authors Bates, Daniel J., Hauenstein, Jonathan D., Sommese, Andrew J.
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.12.2011
Springer Nature B.V
Subjects
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ISSN1017-1398
1572-9265
DOI10.1007/s11075-011-9463-8

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Abstract Path tracking is the fundamental computational tool in homotopy continuation and is therefore key in most algorithms in the emerging field of numerical algebraic geometry. Though the basic notions of predictor-corrector methods have been known for years, there is still much to be considered, particularly in the specialized algebraic setting of solving polynomial systems. In this article, the effects of the choice of predictor method on the performance of a tracker is analyzed, and details for using Runge-Kutta methods in conjunction with adaptive precision are provided. These methods have been implemented in the Bertini software package, and several examples are described.
AbstractList Path tracking is the fundamental computational tool in homotopy continuation and is therefore key in most algorithms in the emerging field of numerical algebraic geometry. Though the basic notions of predictor-corrector methods have been known for years, there is still much to be considered, particularly in the specialized algebraic setting of solving polynomial systems. In this article, the effects of the choice of predictor method on the performance of a tracker is analyzed, and details for using Runge-Kutta methods in conjunction with adaptive precision are provided. These methods have been implemented in the Bertini software package, and several examples are described.
Author Sommese, Andrew J.
Bates, Daniel J.
Hauenstein, Jonathan D.
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  fullname: Sommese, Andrew J.
  organization: Department of Applied and Computational Mathematics and Statistics, University of Notre Dame
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Cites_doi 10.1145/7921.7923
10.1016/0771-050X(81)90010-3
10.1142/9789812567727
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Issue 4
Keywords 65L06
Polynomial systems
Path tracking
Euler’s method
Precision
65H20
Ordinary differential equations
Homotopy continuation
65E05
65H10
Runge-Kutta methods
Adaptive precision
Numerical algebraic geometry
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ShampineLFNumerical Solution of Ordinary Differential Equations1994New YorkChapman & Hall0832.65063
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– reference: Li, T.Y.: Numerical solution of polynomial systems by homotopy continuation methods. In: Cucker, F. (ed.) Handbook of Numerical Analysis, Volume XI, Special Volume: Foundations of Computational Mathematics, North-Holland, pp. 209–304 (2003)
– reference: Bates, D.J., Hauenstein, J.D., Sommese, A.J., Wampler, C.W.: Bertini: Software for Numerical Algebraic Geometry. Available at http://www.nd.edu/∼sommese/bertini
– reference: Kincaid, D., Cheney, W.: Numerical Analysis: Mathematics of Scientific Computing, 3rd edn. Brooks/Cole Publishing Co., Pacific Grove, CA (2002)
– reference: SommeseAJWamplerCWThe Numerical Solution of Systems of Polynomials Arising in Engineering and Science2005SingaporeWorld Scientific1091.6504910.1142/9789812567727
– reference: FehlbergEKlassische Runge-Kutta-Formeln fünfter und siebenter Ordnung mit Schrittweiten-KontrolleComputing (Arch. Elektron. Rechnen)19694931062601790185.41302
– reference: EnrightWHJacksonKRNørsettSPThomsenPGInterpolants for Runge-Kutta formulasACM Trans. Math. Software19861231932188890660617.6506810.1145/7921.7923
– reference: BatesDJHauensteinJDSommeseAJWamplerCWAdaptive multiprecision path trackingSIAM J. Numer. Anal.20084672274623832091162.6502610.1137/060658862
– reference: VernerJHExplicit Runge-Kutta methods with estimates of the local truncation errorSIAM J. Numer. Anal.19781547727904834710403.6502910.1137/0715051
– reference: MorganAPSommeseAJComputing all solutions to polynomial systems using homotopy continuationAppl. Math. Comput.19872421151389148070635.6505810.1016/0096-3003(87)90064-6Errata: Appl. Math. Comput., 51, 209 (1992)
– reference: BatesDJHauensteinJDSommeseAJWamplerCWStepsize control for adaptive multiprecision path trackingContemp. Math.200949621312555948
– reference: PrincePJDormandJRHigh order embedded Runge-Kutta formulaeJ. Comput. Appl. Math.19817167756119530449.6504810.1016/0771-050X(81)90010-3
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– reference: Morgan, A.P.: Solving polynomial systems using continuation for engineering and scientific problems. Prentice Hall Inc., Englewood Cliffs, NJ (1987) Reprinted as Classics in Applied Mathematics (2009) 57, SIAM
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Snippet Path tracking is the fundamental computational tool in homotopy continuation and is therefore key in most algorithms in the emerging field of numerical...
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SubjectTerms Algebra
Algorithms
Computer Science
Numeric Computing
Numerical Analysis
Original Paper
Path tracking
Polynomials
Predictor-corrector methods
Runge-Kutta method
Software
Theory of Computation
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Title Efficient path tracking methods
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