Skip to main content
Log in

On the convergence rate of grid search for polynomial optimization over the simplex

  • Original Paper
  • Published:
Optimization Letters Aims and scope Submit manuscript

Abstract

We consider the approximate minimization of a given polynomial on the standard simplex, obtained by taking the minimum value over all rational grid points with given denominator \({r} \in \mathbb {N}\). It was shown in De Klerk et al. (SIAM J Optim 25(3):1498–1514, 2015) that the accuracy of this approximation depends on r as \(O(1/r^2)\) if there exists a rational global minimizer. In this note we show that the rational minimizer condition is not necessary to obtain the \(O(1/r^2)\) bound.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. This value of \(c_d\) can be easily derived from results in [9] (specifically from Theorem 4.1, Lemma 4.6 and its proof).

References

  1. Ausiello, G., D’Atri, A., Protasi, M.: Structure preserving reductions among convex optimization problems. J. Comput. Syst. Sci. 21(1), 136–153 (1980)

    Article  MathSciNet  MATH  Google Scholar 

  2. Bellare, M., Rogaway, P.: The complexity of approximating a nonlinear program. Math. Program. 69(1), 429–441 (1995)

    MathSciNet  MATH  Google Scholar 

  3. Bomze, I.M., De Klerk, E.: Solving standard quadratic optimization problems via semidefinite and copositive programming. J. Global Optim. 24(2), 163–185 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  4. Bomze, I.M., Gollowitzer, S., Yildirim, E.A.: Rounding on the standard simplex: Regular grids for global optimization. J. Global Optim. 59(2–3), 243–258 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  5. Bos, L.P.: Bounding the Lebesque function for Lagrange interpolation in a simplex. J. Approx. Theory 38, 43–59 (1983)

    Article  MathSciNet  MATH  Google Scholar 

  6. Boyd, S., Vandenberghe, L.: Convex Optimization. Cambridge University Press, Cambridge (2004)

  7. De Klerk, E., Laurent, M., Parrilo, P.: A PTAS for the minimization of polynomials of fixed degree over the simplex. Theoret. Comput. Sci. 361(2–3), 210–225 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  8. De Klerk, E., Laurent, M., Sun, Z.: An alternative proof of a PTAS for fixed-degree polynomial optimization over the simplex. Math. Program. 151(2), 433–457 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  9. De Klerk, E., Laurent, M., Sun, Z.: An error analysis for polynomial optimization over the simplex based on the multivariate hypergeometric distribution. SIAM J. Optim. 25(3), 1498–1514 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  10. Faybusovich, L.: Global optimization of homogeneous polynomials on the simplex and on the sphere. In: Floudas, C., Pardalos, P. (eds.) Frontiers in Global Optimization, pp. 109–121. Kluwer Academic Publishers, Boston (2004)

  11. Nesterov, Yu.: Random walk in a simplex and quadratic optimization over convex polytopes. CORE Discussion Paper 2003/71, CORE-UCL (2003)

Download references

Acknowledgments

We thank the associate editor and two anonymous referees for their comments which helped improve the presentation of the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhao Sun.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

de Klerk, E., Laurent, M., Sun, Z. et al. On the convergence rate of grid search for polynomial optimization over the simplex. Optim Lett 11, 597–608 (2017). https://doi.org/10.1007/s11590-016-1023-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11590-016-1023-7

Keywords

Navigation