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Solving Geometric Programming Problems with Normal, Linear and Zigzag Uncertainty Distributions

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Abstract

The authors were alerted by a communication of Ken Kortanek that the numerical results of the paper contained mistakes. After carefully checking the MatLab code used for the simulations, we have found a mistype in one of the equations implemented that has affected almost all the simulations. This note provides the corrected numerical results.

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References

  1. Shiraz, Khanjani: R., Tavana, M., Di Caprio, D., Fukuyama, H.: Solving geometric programming problems with normal linear and zigzag uncertainty distributions. J. Optim. Theory Appl. 170(1), 243–265 (2016)

  2. Boyd, S., Kim, S.-J., Vandenberghe, L., Hassibi, A.: GGPLAB: A Simple Matlab Toolbox for Geometric Programming. http://www.stanford.edu/-boyd/ggplab/

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Authors and Affiliations

  1. School of Mathematics Science, University of Tabriz, Tabriz, Iran

    Rashed Khanjani Shiraz

  2. Distinguished Chair of Business Systems and Analytics, Business Systems and Analytics Department, La Salle University, Philadelphia, PA, 19141, USA

    Madjid Tavana

  3. Business Information Systems Department, Faculty of Business Administration and Economics, University of Paderborn, 33098, Paderborn, Germany

    Madjid Tavana

  4. Department of Mathematics and Statistics, York University, Toronto, M3J 1P3, Canada

    Debora Di Caprio

  5. Polo Tecnologico IISS G. Galilei, Via Cadorna 14, 39100, Bolzano, Italy

    Debora Di Caprio

  6. Faculty of Commerce, Fukuoka University, Fukuoka, Japan

    Hirofumi Fukuyama

Authors
  1. Rashed Khanjani Shiraz
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  2. Madjid Tavana
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  3. Debora Di Caprio
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  4. Hirofumi Fukuyama
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Corresponding author

Correspondence to Madjid Tavana.

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Khanjani Shiraz, R., Tavana, M., Di Caprio, D. et al. Solving Geometric Programming Problems with Normal, Linear and Zigzag Uncertainty Distributions. J Optim Theory Appl 170, 1075–1078 (2016). https://doi.org/10.1007/s10957-016-0985-z

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  • DOI: https://doi.org/10.1007/s10957-016-0985-z

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