Abstract
The purpose of this paper is to present two algorithms for global minimization of multivariate polynomials. For a multivariate real polynomial f, we provide an effective algorithm for deciding whether or not the infimum of f is finite. In the case of f having a finite infimum, the infimum of f can be accurately coded as (h; a, b), where h is a real polynomial in one variable, a and b is two rational numbers with a < b, and (h, a, b) stands for the only real root of h in the open interval ]a, b[. Moreover, another algorithm is provided to decide whether or not the infimum of f is attained when the infimum of f is finite. Our methods are called “nonstandard”, because an infinitesimal element is introduced in our arguments.
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References
Basu S., Pollack R., Roy M.-F.: Algorithms in Real Algebraic Geometry. Algorithms and Computation in Math. 10. Springer, Berlin (2003)
Becker T., Weispfenning V., Kredel H.: Gröbner Bases: A Computational Approach to Commutative Algebra. Springer, New York (1993)
Bochnak J., Coste M., Roy M.-F.: Real Algebraic Geometry. Springer, New York (1998)
Hägglöf K., Lindberg P.O., Stevenson L.: Computing global minima to polynomial optimization problems using Gröbner bases. J. Global Optimization 7, 115–125 (1995)
Hanzon B., Jibetean D.: Global minimization of a multivariate polynomial using matrix methods. J. Global Optimization 27, 1–23 (2003)
Heck A.: Introduction to Maple. Springer, New York (1993)
Kunz E.: Introduction to Commutative Algebra and Algebraic Geometry. Birkhäuser, Boston (1985)
Lam T.Y.: The theory of ordered fields, Lecture Notes in Pure and Applied Mathematics, vol. 55. M. Dekker, New York (1980)
Mishra B.: Algorithmic Algebra, Texts and Monographs in Computer Science. Springer, New York (1993)
Möller H.M., Stetter H.J.: Multivariate polynomial equations with multiple zeros solved by matrix eigenproblems. Numer. Math. 70, 311–329 (1995)
Nie, J.: An exact Jacobian SDP relaxation for polynomial optimization, preprint, arXiv: 1006.2418. (2010)
Nie J., Demmel J., Sturmfels B.: Minimizing polynomials via sums of squares over the gradient ideal. Math. Program. Ser. A 106, 587–606 (2006)
Parrilo, P.A., Sturmfels, B.: Minimizing polynomial functions. In: Algorithmic and quantitative real algebraic geometry, DIMACS Series in Discrete Mathematics and Theoretical Computer Science, vol. 60, pp. 83–100. Amer. Math. Soc., (2003)
Prestel A.: Lectures on Formally Real Fields, Lecture Notes in Mathematics, vol. 1093. Springer, Heidelberg (1984)
Uteshev A.Y., Cherkasov T.M.: The search for the maximum of a polynomial. J. Symbolic Comput. 25, 587–618 (1998)
Wu Wen-tsun: Mathematics Mechanization: Mechanical Geometry Theorem-Proving, Mechanical Geometry Problem-Solving and Polynomial Equations-Solving. Science Press, Beijing (2000)
Zeng G.: An effective decision method for semidefinite polynomials. J. Symbolic Comput. 37, 83–99 (2004)
Zhu J., Zhang X.: On global optimizations with polynomials. Optimization Letters 2, 239–249 (2008)
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Zeng, G., Xiao, S. Global minimization of multivariate polynomials using nonstandard methods. J Glob Optim 53, 391–415 (2012). https://doi.org/10.1007/s10898-011-9718-x
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DOI: https://doi.org/10.1007/s10898-011-9718-x
Keywords
- Polynomial optimization
- Infimum
- Global minimum
- Connected component
- Infinitesimal element
- Transfer principle