Add to ORKGAbstract. 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. Résumé. Nous caractérisons des fonctions pseudoconvexes en utilisant un sous différentiel abstrait. Comme applications, nous caractérisons également des maximums des fonctions pseudoconvexes, et nous étudions quelques problèmes d’optimisation fractionnaires et quadratiques. 1
summary:In der vorliegenden Arbeit geben wir eine klasse von verallgemeinerten quadratischen Optimie...
AbstractThis paper characterizes the nonsmooth quasiconvex and pseudoconvex functions using the prop...
A sequential method for a class of generalized fractional programming problems is proposed. The cons...
In this paper, we characterize pseudoconvex functions using an abstract subdifferential. As applicat...
Abstract. The paper discusses a non-concave fractional programming problem aiming at maximization of...
AbstractIn a recent work, cited in the Introduction, a concept of generalized pseudoconvexity was us...
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...
In this paper we will characterize the maximal domains of pseudoconvexity of the ratio betwcen a qua...
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 ...
Pseudolinear Functions and Optimization is the first book to focus exclusively on pseudolinear funct...
In this paper, we give necessary and sufficient optimality conditions for a point to be an extremum ...
In this article we develop a global optimization algorithm for quasiconvex programming where the obj...
The aim of the paper is to maximize a pseudoconcave function which is the sum of a linear and a line...
summary:In der vorliegenden Arbeit geben wir eine klasse von verallgemeinerten quadratischen Optimie...
AbstractThis paper characterizes the nonsmooth quasiconvex and pseudoconvex functions using the prop...
A sequential method for a class of generalized fractional programming problems is proposed. The cons...
In this paper, we characterize pseudoconvex functions using an abstract subdifferential. As applicat...
Abstract. The paper discusses a non-concave fractional programming problem aiming at maximization of...
AbstractIn a recent work, cited in the Introduction, a concept of generalized pseudoconvexity was us...
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...
In this paper we will characterize the maximal domains of pseudoconvexity of the ratio betwcen a qua...
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 ...
Pseudolinear Functions and Optimization is the first book to focus exclusively on pseudolinear funct...
In this paper, we give necessary and sufficient optimality conditions for a point to be an extremum ...
In this article we develop a global optimization algorithm for quasiconvex programming where the obj...
The aim of the paper is to maximize a pseudoconcave function which is the sum of a linear and a line...
summary:In der vorliegenden Arbeit geben wir eine klasse von verallgemeinerten quadratischen Optimie...
AbstractThis paper characterizes the nonsmooth quasiconvex and pseudoconvex functions using the prop...
A sequential method for a class of generalized fractional programming problems is proposed. The cons...