Results 31 to 40 of about 431 (190)

Semi-invex functions and their subdifferentials [PDF]

open access: yesBulletin of the Australian Mathematical Society, 1997
We introduce the notion of semi-invex function (non-smooth) and the associated subdifferential. We study their properties and establish the conditions for optimality in constrained and unconstrained minimisation problems.
Dutta, J., Vetrivel, V., Nanda, S.
openaire   +2 more sources

Duality results on mathematical programs with vanishing constraints involving generalized invex functions [PDF]

open access: yes, 2023
In the here presented research, we investigate Wolfe and Mond-Weir duality models applied to a specific category of generalized convex functions known as p-invex functions. We establish various dualities between the primal MPVC and itsWolfe type dual, as
Joshi, Bhuwan Chandra
core   +1 more source

Optimality conditions and duality in multiobjective programming with invexity [PDF]

open access: yesYugoslav Journal of Operations Research, 2008
(', ρ)-invexity has recently been introduced with the intent of generalizing invex functions in mathematical programming. Using such conditions we obtain new sufficiency results for optimality in multiobjective programming and extend some classical ...
Ferrara Massimiliano   +1 more
doaj   +1 more source

On Constraint Qualifications and Optimality Conditions in Nonsmooth Semi-infinite Optimization [PDF]

open access: yesControl and Optimization in Applied Mathematics
The primary objective of this paper is to enhance several well-known geometric constraint qualifications and necessary optimality conditions for nonsmooth semi-infinite optimization problems (SIPs).
Atefeh Hassani Bafrani
doaj   +1 more source

Nonsmooth semi-infinite roughly B-invex multi-objective programming problems

open access: yesResults in Control and Optimization, 2023
In this paper, we will study a nonsmooth semi-infinite multi-objective programming problem involving roughly B-invex functions. Sufficient optimality conditions for the primal problem are derived. We shall formulate Mond–Weir type dual and establish weak
Tarek Emam
doaj   +1 more source

Invexity of supremum and infimum functions [PDF]

open access: yesBulletin of the Australian Mathematical Society, 2002
Under suitable assumptions we establish the formulas for calculating generalised gradients and generalised directional derivatives in the Clarke sense of the supremum and the infimum of an infinite family of Lipschitz functions. From these results we derive the results ensuring such a supremum or infimum are an invex function when all functions of the ...
Nguyen Xuan Ha, Do Van Luu
openaire   +2 more sources

Generalized Differentiable -Invex Functions and Their Applications in Optimization [PDF]

open access: yesAdvances in Operations Research, 2012
The concept of -convex function and its generalizations is studied with differentiability assumption. Generalized differentiable -convexity and generalized differentiable -invexity are used to derive the existence of optimal solution of a general optimization problem.
Sangeeta Jaiswal, Geetanjali Panda
openaire   +1 more source

On a Nonsmooth Vector Optimization Problem with Generalized Cone Invexity

open access: yesAbstract and Applied Analysis, 2012
By using Clarke’s generalized gradients we consider a nonsmooth vector optimization problem with cone constraints and introduce some generalized cone-invex functions called K-α-generalized invex, K-α-nonsmooth invex, and other related functions.
Hehua Jiao, Sanyang Liu
doaj   +1 more source

Nonsmooth Multiobjective Fractional Programming with Local Lipschitz Exponential B-p,r-Invexity

open access: yesJournal of Applied Mathematics, 2013
We study nonsmooth multiobjective fractional programming problem containing local Lipschitz exponential B-p,r-invex functions with respect to η and b. We introduce a new concept of nonconvex functions, called exponential B-p,r-invex functions.
Shun-Chin Ho
doaj   +1 more source

Logarithmic penalty function method for invex multi-objective fractional programming problems

open access: yesJournal of Taibah University for Science, 2020
In this paper, a new logarithmic penalty function method is used for solving nonlinear multi-objective fractional programming problems (MOFPP) involving invex objectives and constraints functions with respect to the same function η.
Mansur Hassan   +2 more
doaj   +1 more source

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