Skip to main content
Log in

Trigonometric Convex Underestimator for the Base Functions in Fourier Space

  • Published:
Journal of Optimization Theory and Applications Aims and scope Submit manuscript

Abstract

A three-parameter (a, b, xs) convex underestimator of the functional form φ(x) = -a sin[k(x-xs)] + b for the function f(x) = α sin(x+s), x ∈ [xL, xU], is presented. The proposed method is deterministic and guarantees the existence of at least one convex underestimator of this functional form. We show that, at small k, the method approaches an asymptotic solution. We show that the maximum separation distance of the underestimator from the minimum of the function grows linearly with the domain size. The method can be applied to trigonometric polynomial functions of arbitrary dimensionality and arbitrary degree. We illustrate the features of the new trigonometric underestimator with numerical examples.

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

References

  • I. P. Androulakis C. D. Maranas C. A. Floudas (1995) ArticleTitleαBB: A Global Optimization Method for General Constrained Nonconvex Problems Journal of Global Optimization 7 337–363

    Google Scholar 

  • C. D. Maranas C. A. Floudas (1995) ArticleTitleFinding All Solutions of Nonlinearly Constrained Systems of Equations Journal of Global Optimization 7 143–182

    Google Scholar 

  • C. Adjiman C. A. Floudas (1996) ArticleTitleRigorous Convex Underestimators for General Twice-Differentiable Problems Journal of Global Optimization 9 23–40

    Google Scholar 

  • C. Adjiman S. Dallwig C. A. Floudas A. Neumaier (1998) ArticleTitleA Global Optimization Method αBB for General Twice-Differentiable Constrained NLPs, I: Theoretical Advances Computers and Chemical Engineering 22 1137–1158

    Google Scholar 

  • C. Adjiman I. P. Androulakis C. A. Floudas (1998) ArticleTitleA Global Optimization Method αBB for General Twice-Differentiable Constrained NLPs II: Implementation and Computational Results Computers and Chemical Engineering 22 1159–1179

    Google Scholar 

  • C. A. Floudas (2000) Deterministic Global Optimization Theory, Methods, and Applications Kluwer Academic Publishers Dordrecht, Holland

    Google Scholar 

  • F. A. Al-Khayyal J. E. Falk (1983) ArticleTitleJointly Constrained Biconvex Programming Mathematics of Operations Research 8 273–286

    Google Scholar 

  • C. A. Meyer C. A. Floudas (2004) ArticleTitleTrilinear Monomials with Mixed Sign Domains: Explicit Facets of the Convex Hull Journal of Global Optimization 29 125–155

    Google Scholar 

  • J. L. Klepeis H. D. Schafroth K. M. Westerberg C. A. Floudas (2002) ArticleTitleDeterministic Global Optimization and ab Initio Approaches for the Structure Prediction of PolypeptidesDynamics of Protein Folding and Protein-Protein Interactionsand Protein-Protein Interactions Advances in Chemical Physics 120 265–457

    Google Scholar 

  • J. L. Klepeis C. A. Floudas (2003) ArticleTitleASTRO-FOLD: A Combinatorial and Global Optimization Framework for ab Initio Prediction of Three-Dimensional Structures of Proteins from the Amino Acid Sequence Biophysical Journal 85 2119–2146

    Google Scholar 

  • W. D. Cornell P. Cieplak C. I. Bayly I. R. Gould K. M. J. Merz D. M. Ferguson D. C. Spellmeyer T. Fox J. W. Caldwell P. A. Kollman (1995) ArticleTitleA Second Generation Force Field for the Simulation of Proteins Nucleic Acids, and Organic Molecules Journal of the American Chemical Society 117 5179–5197

    Google Scholar 

  • B. R. Brooks R. E. Bruccoleri B. D. Olafson D. J. States S. Swaminathan M. Karplus (1983) ArticleTitleCHARMM: A Program for Macromolecular Energy, Minization and Dynamics Calculations Journal of Computational Chemistry 4 187–217

    Google Scholar 

  • F. A. Momany R. F. McGuire A. W. Burgess H. A. Scheraga (1975) ArticleTitleEnergy Parameter in Polypeptides, VII: Geometric Parameters Partial Charges, Nonbonded Interactions, Hydrogen Bond Interactions,and Intrinsic Torsional Potentials for Naturally Occuring Amino Acids Journal of Physical Chemistry 79 2361–2381

    Google Scholar 

  • H. D. Sherali H. Wang (2001) ArticleTitleGlobal Optimization of Nonconvex Factorable Programming Problems Mathematical Programming 89A 459–478

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Support from the National Science Foundation and the National Institutes of Health Grant R01 GM52032 is gratefully acknowledged.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Caratzoulas, S., Floudas, C.A. Trigonometric Convex Underestimator for the Base Functions in Fourier Space. J Optim Theory Appl 124, 339–362 (2005). https://doi.org/10.1007/s10957-004-0940-2

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10957-004-0940-2

Keywords

Navigation