Skip to main content

A Dual Algorithm in Quasi-Convex Optimization

  • Conference paper
  • 74 Accesses

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 144))

Abstract

Given a non-decreasing family of closed convex sets C(τ) depending on a real parameter t and an affine variety W, we consider the problem of finding the infimum τ̄ of the values τ such that C(τ) ∩ W is non-empty, and the corresponding set of solutions S = C(τ̄) ∩ W. This problem is shown to be equivalent to the minimization of a quasi-convex function over a convex set. A dual algorithm is given for solving this problem and its convergence is proved.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. AUSLENDER, A.: Méthodes numériques pour la décomposition et la minimisation de fonctions non-différentiables. Numerische Math. 18, (1971), 213–223.

    Article  Google Scholar 

  2. BERTSEKAS, D.P. and MITTER, S.: A descent numerical method for optimization problems with non-differentiable cost functionals, S.I.A.M. Journal on Control, 11, (1973), 637–652.

    Article  Google Scholar 

  3. CARASSO, C.: Un algorithme de minimisation de fonctions convexes avec ou sans contraintes : “l’algorithme d’échange”. Prépublication N° 3, Math., Univ. de Saint-Etienne, 7th IFIP Conference on Optimization Techniques, Springer-Verlag (1975).

    Google Scholar 

  4. CARASSO, C. ET LAURENT, P.J.: Un algorithme de minimisation en chaîne en optimisation convexe. Séminaire d’Analyse Numérique, Grenoble (29 janvier 1976) à paraître: S.I.A.M. Journal on Control.

    Google Scholar 

  5. CARASSO, C. ET LAURENT P.J.: Un algorithme général pour l’approximation au sens de Tchebycheff de fonctions bornées sur un ensemble quelconque. Approximations-Kolloquium, Bonn (June 8–12, 1976). Lectures Notes in Math., 556, Springer-Verlag.

    Google Scholar 

  6. CHENEY, E.W.: Introduction to Approximation Theory; McGraw-Hill (1966).

    Google Scholar 

  7. CHENEY, E.W. and GOLDSTEIN, A.A.: Newton’s method for convex programming and Tchebyscheff approximation. Num. Math. 1, (1959), 253–268.

    Article  Google Scholar 

  8. DEMJANOV, V.F.: Algorithms for some minimax problems. Journal of Computer and System Sciences 2, (1968), 342–380.

    Article  Google Scholar 

  9. GOLDSTEIN, A.A.: Constructive real analysis. Harper’s series in modern mathematics, Harper and Row, (1967).

    Google Scholar 

  10. LAURENT, P.J.: Théorèmes de caractérisation d’une meilleure approximation dans un espace normé et généralisation de l’algorithme de Rémès. Num. Math. 10, (1967), 190–208.

    Article  Google Scholar 

  11. LAURENT, P.J.: Approximation et Optimisation, Hermann, Paris, (1972).

    Google Scholar 

  12. LAURENT, P.J.: Exchange algorithm in convex analysis. Conf. on Approximation Theory, the Univ. of Texas, Austin, (1973), Acad. Press.

    Google Scholar 

  13. LAURENT, P.J. and CARASSO, C.: An algorithm of successive minimization in convex programming. IX International Symposium on Mathematical Programming, Budapest, 23–27 Août 1976 (to appear). Rapport de Recherche n° 49 (Août 1976), Mathématiques Appliquées et Informatique, Université de Grenoble.

    Google Scholar 

  14. LEMARECHAL, C.: An extension of Davidon methods to nondifferentiable problems. Math. Programming Study 3, (1975), 95–109.

    Article  Google Scholar 

  15. RIMES, E. : Sur le calcul effectif des polynomes d’approximation de Tchebycheff. C.R.A.S., Paris, 199, (1934), 337–340.

    Google Scholar 

  16. RIMES, E. : General computational methods for Chebyshev approximation. Problems with real parameters entering linearly. Izdat. Akad. Nauk Ukrainsk. SSR, Kiev (1957), Atomic Energy Commission Translations 4491.

    Google Scholar 

  17. ROCKAFELLAR, R.T.: Convex analysis, Princ. Univ. Press (1970).

    Google Scholar 

  18. STIEFEL, E.L. : Über diskrete und lineare Tschebyscheff-Approximationen. Num. Math. 1, (1959), 1–28.

    Article  Google Scholar 

  19. STIEFEL, E.L. : Numerical Methods of Tschebycheff Approximation. In “On Numerical Approximation”, R. Langer Ed., Univ. of Wisconsin, (1959), 217–232.

    Google Scholar 

  20. STIEFEL, E.L. : Note on Jordan Elimination, Linear Programming and Tchebycheff Approximation. Num. Math. 2, (1960), 1–17.

    Article  Google Scholar 

  21. WOLFE, P. : A method of conjugate subgradients for minimizing nondifferentiable functions. Math. Programming Study 3, (1975), 145–173.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1977 Springer-Verlag Berlin · Heidelberg

About this paper

Cite this paper

Carasso, C., Laurent, P.J. (1977). A Dual Algorithm in Quasi-Convex Optimization. In: Auslender, A. (eds) Convex Analysis and Its Applications. Lecture Notes in Economics and Mathematical Systems, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48298-4_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-48298-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-08149-4

  • Online ISBN: 978-3-642-48298-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics