Journal of applied mathematics & informatics

The Korean Society for Computational and Applied Mathematics (한국전산응용수학회)
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OPTIMALITY AND DUALITY FOR GENERALIZED NONDIFFERENTIABLE FRACTIONAL PROGRAMMING WITH GENERALIZED INVEXITY

  • Kim, Moon-Hee (Department of Multimedia Engineering, Tongmyong University) ;
  • Kim, Gwi-Soo (Department of Applied Mathematics, Pukyong National University)
  • Received : 2010.04.23
  • Accepted : 2010.06.23
  • Published : 2010.09.30
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Abstract

Sufficient optimality conditions for a class of generalized non-differentiable fractional optimization programming problems are established. Moreover, we prove the weak and strong duality theorems under (V, $\rho$)-invexity assumption.

Keywords

Acknowledgement

Supported by : Korea Science and Engineering Foundation (KOSEF)

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