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Lagrangian Duality And Saddle Point Optimality Conditions Of Rough Nonlinear Optimization Problem When Roughness In The Feasible Region

International Journal of Mathematical Archive, India. • 2013
العودة
معلومات البحث
المؤلفون M.S.A.Osman, M.H.Eid and M.A.Elsisy (2013)
الكلمات المفتاحية Not Available
المجلة العلمية International Journal of Mathematical Archive, India.
الناشر International Journal of Mathematical Archive, India.
المجلد Vol.4
العدد No.5
الصفحات Not Available
publication.type International
رابط البحث Not Available
المواد المرفقة Not Available
الملخص
Deriving the dual of nonlinear optimization problem often yields a new insight into the nonlinear optimization problem at hand. The new insight may lead to simple techniques for solving the nonlinear problem. This paper presents duality theorems and saddle point optimality conditions of nonlinear optimization problem in rough environment when the objective function is deterministic and roughness in the feasible region. The concepts of duality and saddle point in the rough environment are discussed. Numerical examples are given to clarify the developed theory.