2009Journal of Zhejiang Normal UniversityRequires access

Optimality criteria for a class of generalized fractional programming under nonsmooth(F,ρ,θ)-d-univexity

Tong Zi-shuang

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Abstract

Combining the definition of F-convexity,η-invexity and d-univexity,the definition of nonsmooth(F,ρ,θ)-d-univexity was introduced.The Kuhn-Tucker type necessary optimality conditions were given for a class of generalized fractional programming of minimizing a local Lipschitz function subject to a set of differentiable nonlinear inequalities on a convex subset C of R,under the generalized Kuhn-Tucker constraint qualification or the generalized Arrow-Hurwicz-Uzawa constraint qualification.Finally,the sufficient optimality condition were proposed under nonsmooth(F,ρ,θ)-d-univexity.

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Combining the definition of F-convexity,η-invexity and d-univexity,the definition of nonsmooth(F,ρ,θ)-d-univexity was introduced.The Kuhn-Tucker type necessary optimality conditions were given for a class of generalized fractional programming of minimizing a local Lipschitz function subject to a set of differentiable nonlinear inequalities on a convex subset C of R,under the generalized Kuhn-Tucker constraint qualification or the generalized Arrow-Hurwicz-Uzawa constraint qualification.Finally,the sufficient optimality condition were proposed under nonsmooth(F,ρ,θ)-d-univexity.

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Available abstract

Combining the definition of F-convexity,η-invexity and d-univexity,the definition of nonsmooth(F,ρ,θ)-d-univexity was introduced.The Kuhn-Tucker type necessary optimality conditions were given for a class of generalized fractional programming of minimizing a local Lipschitz function subject to a set of differentiable nonlinear inequalities on a convex subset C of R,under the generalized Kuhn-Tucker constraint qualification or the generalized Arrow-Hurwicz-Uzawa constraint qualification.Finally,the sufficient optimality condition were proposed under nonsmooth(F,ρ,θ)-d-univexity.

Key concepts: Mathematics, Lipschitz continuity, Differentiable function, Convexity, Class (philosophy), Nonlinear programming, Constraint (computer-aided design), Convex function

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