Generalized invexity and mathematical programs | Zendy

Bhuwan Joshi | Zendy; Rakesh Mohan | Zendy; Praveer Pankaj | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Generalized invexity and mathematical programs

Author(s) -

Bhuwan Joshi,

Rakesh Mohan,

Praveer Pankaj

Publication year - 2020

Publication title -

yugoslav journal of operations research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.221

H-Index - 21

eISSN - 1820-743X

pISSN - 0354-0243

DOI - 10.2298/yjor200615035j

Subject(s) - convexity , duality (order theory) , mathematics , mathematical optimization , mathematical economics , type (biology) , dual (grammatical number) , computer science , discrete mathematics , economics , art , ecology , literature , financial economics , biology

In this paper, using generalized convexity assumptions, we show that Mstationary condition is sufficient for global or local optimality under some mathematical programming problem with equilibrium constraints(MPEC). Further, we formulate and study Wolfe type and Mond-Weir type dual models for the MPEC, and we establish weak and strong duality theorems.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research