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논문 기본 정보
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- 학술저널
- 저자정보
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- 한국전산응용수학회 Journal of applied mathematics & computing Journal of applied mathematics & computing 제17권 제1호
- 발행연도
- 2005.1
- 수록면
- 121 - 144 (24page)
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In this paper, we propose unconstrained and constrained posynomial Geometric Programming (GP) problem with negative or positive integral degree of difficulty. Conventional GP approach has been modified to solve some special type of GP problems. In specific case, when the degree of difficulty is negative, the normality and the orthogonality conditions of the dual program give a system of linear equations. No general solution vector exists for this system of linear equations. But an approximate solution can be determined by the least square and also max-min method. Here, modified form of geometric programming method has been demonstrated and for that purpose necessary theorems have been derived. Finally, these are illustrated by numerical examples and applications.
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