DOIAbstract
In this paper, we characterize pseudoconvex functions using an abstract subdifferential. As applications, we also characterize maxima of pseudoconvex functions, and we study some fractional and quadratic optimization problems
In this paper, we characterize pseudoconvex functions using an abstract subdifferential. As applications, we also characterize maxima of pseudoconvex functions, and we study some fractional and quadratic optimization problems
This paper presents a canonical dual approach for minimizing a sum of quadratic function and a ratio...
In this paper we give a necessary and sufficient condition for the pseudoconvexity of a function f w...
The book presents an overview (and also some new results) on invex and related functions in various...
Abstract. In this paper, we characterize pseudoconvex functions using an abstract subdifferential. A...
Pseudolinear Functions and Optimization is the first book to focus exclusively on pseudolinear funct...
AbstractThis paper characterizes the nonsmooth quasiconvex and pseudoconvex functions using the prop...
We consider fractional maximization and minimization problems with an arbitrary feasible set, with a...
AbstractIn this paper, the concept of pseudoconvexity is generalized in three different ways and the...
AbstractIn a recent work, cited in the Introduction, a concept of generalized pseudoconvexity was us...
The aim of the paper is to present sequential methods for a pseudoconvex optimization problem whose ...
The aim of the paper is to present sequential methods for a pseudoconvex optimization problem whose ...
In this article we develop a global optimization algorithm for quasiconvex programming where the obj...
In this paper we will characterize the maximal domains of pseudoconvexity of the ratio betwcen a qua...
In this paper, we give necessary and sufficient optimality conditions for a point to be an extremum ...
Abstract A new concept of nondifferentiable pseudoinvex functions is introduced. Based on the basic ...
This paper presents a canonical dual approach for minimizing a sum of quadratic function and a ratio...
In this paper we give a necessary and sufficient condition for the pseudoconvexity of a function f w...
The book presents an overview (and also some new results) on invex and related functions in various...
Abstract. In this paper, we characterize pseudoconvex functions using an abstract subdifferential. A...
Pseudolinear Functions and Optimization is the first book to focus exclusively on pseudolinear funct...
AbstractThis paper characterizes the nonsmooth quasiconvex and pseudoconvex functions using the prop...
We consider fractional maximization and minimization problems with an arbitrary feasible set, with a...
AbstractIn this paper, the concept of pseudoconvexity is generalized in three different ways and the...
AbstractIn a recent work, cited in the Introduction, a concept of generalized pseudoconvexity was us...
The aim of the paper is to present sequential methods for a pseudoconvex optimization problem whose ...
The aim of the paper is to present sequential methods for a pseudoconvex optimization problem whose ...
In this article we develop a global optimization algorithm for quasiconvex programming where the obj...
In this paper we will characterize the maximal domains of pseudoconvexity of the ratio betwcen a qua...
In this paper, we give necessary and sufficient optimality conditions for a point to be an extremum ...
Abstract A new concept of nondifferentiable pseudoinvex functions is introduced. Based on the basic ...
This paper presents a canonical dual approach for minimizing a sum of quadratic function and a ratio...
In this paper we give a necessary and sufficient condition for the pseudoconvexity of a function f w...
The book presents an overview (and also some new results) on invex and related functions in various...
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