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Information Journal Paper

Title

Characterizing Global Minimizers of the Di erence of Two Positive Valued A ne Increasing and Co-radiant Functions

Pages

  47-58

Abstract

 Many optimization problems can be reduced to a problem with an increasing and co-radiant objective function by a suitable transformation of variables. Functions, which are increasing and co-radiant, have found many applications in microeconomic analysis. In this paper, the abstract convexity of positive valued a ne increasing and co-radiant (ICR) functions are discussed. Moreover, the basic properties of this class of functions such as support set, subdi erential and maximal elements of support set are characterized. Finally, as an application, necessary and suffi cient conditions for the global minimum of the di erence of two strictly positive valued a ne ICR functions are presented.

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    APA: Copy

    Askarizadeh, Mohammad, & MOHEBI, HOSSEIN. (2018). Characterizing Global Minimizers of the Di erence of Two Positive Valued A ne Increasing and Co-radiant Functions. WAVELET AND LINEAR ALGEBRA, 5(2), 47-58. SID. https://sid.ir/paper/743187/en

    Vancouver: Copy

    Askarizadeh Mohammad, MOHEBI HOSSEIN. Characterizing Global Minimizers of the Di erence of Two Positive Valued A ne Increasing and Co-radiant Functions. WAVELET AND LINEAR ALGEBRA[Internet]. 2018;5(2):47-58. Available from: https://sid.ir/paper/743187/en

    IEEE: Copy

    Mohammad Askarizadeh, and HOSSEIN MOHEBI, “Characterizing Global Minimizers of the Di erence of Two Positive Valued A ne Increasing and Co-radiant Functions,” WAVELET AND LINEAR ALGEBRA, vol. 5, no. 2, pp. 47–58, 2018, [Online]. Available: https://sid.ir/paper/743187/en

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