We develop an interior-point polynomial-time algorithm for a generalized linear-fractional problem. The latter problem can be regarded as a nonpolyhedral extension of the usual linear-fractional programming; typical example (which is of interest for control theory) is the minimization of the generalized eigenvalue of a pair of symmetric matrices linearly depending on the decision variables
textabstractIn this paper, we introduce a variant of a cutting plane algorithm and show that this al...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
For the minimization of the sum of linear fractions on polyhedra, it is likewise a class of linear f...
This thesis contains six chapters. From Chapter 1 to Chapter 5, we give an exposition of interiorpoi...
AbstractWe consider the problem of minimizing the largest generalized eigenvalue of a pair of symmet...
Written for specialists working in optimization, mathematical programming, or control theory. The ge...
Abstract This article presents a new approximation algorithm for globally solving a class of general...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
A new dual problem for convex generalized fractional programs with no duality gap is presented and i...
In Semidefinite programming one minimizes a linear function sub-ject to the constraint that an affin...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
AbstractThis paper considers the solution of generalized fractional programming (GFP) problem which ...
Some efficient interior-point methods (IPMs) are based on using a self-concordant barrier funct...
In semidefinite programming one minimizes a linear function subject to the constraint that an affine...
This paper is concerned with an efficient global optimization algorithm for solving a kind of fracti...
textabstractIn this paper, we introduce a variant of a cutting plane algorithm and show that this al...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
For the minimization of the sum of linear fractions on polyhedra, it is likewise a class of linear f...
This thesis contains six chapters. From Chapter 1 to Chapter 5, we give an exposition of interiorpoi...
AbstractWe consider the problem of minimizing the largest generalized eigenvalue of a pair of symmet...
Written for specialists working in optimization, mathematical programming, or control theory. The ge...
Abstract This article presents a new approximation algorithm for globally solving a class of general...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
A new dual problem for convex generalized fractional programs with no duality gap is presented and i...
In Semidefinite programming one minimizes a linear function sub-ject to the constraint that an affin...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
AbstractThis paper considers the solution of generalized fractional programming (GFP) problem which ...
Some efficient interior-point methods (IPMs) are based on using a self-concordant barrier funct...
In semidefinite programming one minimizes a linear function subject to the constraint that an affine...
This paper is concerned with an efficient global optimization algorithm for solving a kind of fracti...
textabstractIn this paper, we introduce a variant of a cutting plane algorithm and show that this al...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
For the minimization of the sum of linear fractions on polyhedra, it is likewise a class of linear f...