Introduction We are concerned in this note with the Goffin Haurie and Vial's [7] Analytic Center Cutting Plane Method (ACCPM for short) for large-scale convex optimization. Its state-of-the-art implementation [10] is now available upon request for academic research use. Cutting plane methods for convex optimization have a long history that goes back at least to a fundamental paper of Kelley [14]. There exist numerous strategies that can be applied to "solve" subsequent relaxed master problems in the cutting planes optimization scheme. In the Analytic Center Cutting Plane Method, subsequent relaxed master problems are not solved to optimality. Instead of it, an approximate analytic center of the current localization set is lo...
In this paper we consider a new analytic center cutting plane method in an extended space. We prove ...
In this paper we consider a homogeneous analytic center cutting plane method in a projective space. ...
Support vector machines have recently attracted much attention in the machine learning and optimizat...
We are concerned in this note with an application of an advanced implementation of Goffin and Vial's...
The analytic center cutting plane (ACCPM) methods aims to solve nondifferentiable convex problems. T...
This thesis concerns the solution of variational inequalities (VIs) with analytic center cutting pla...
This work has like objective to present a description of the analytic to center cutting plane method...
150 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1992.We present four algorithms th...
International audienceThis paper analyzes the introduction of multiple central cuts in a conic formu...
Interior-point methods have not only shown their efficiency for linear and some nonlinear programmin...
We analyze the complexity of the analytic center cutting plane or column generation algorithm for so...
We present a survey of nondifferentiable optimization problems and methods with special focus on the...
Proximal ACCPM is a variant of the analytic center cutting plane method, in which a proximal term is...
Proximal ACCPM is a variant of the analytic center cutting plane method, in which a proximal term is...
Thesis (Ph.D.)--University of Washington, 2017Convex optimization is more popular than ever, with ex...
In this paper we consider a new analytic center cutting plane method in an extended space. We prove ...
In this paper we consider a homogeneous analytic center cutting plane method in a projective space. ...
Support vector machines have recently attracted much attention in the machine learning and optimizat...
We are concerned in this note with an application of an advanced implementation of Goffin and Vial's...
The analytic center cutting plane (ACCPM) methods aims to solve nondifferentiable convex problems. T...
This thesis concerns the solution of variational inequalities (VIs) with analytic center cutting pla...
This work has like objective to present a description of the analytic to center cutting plane method...
150 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1992.We present four algorithms th...
International audienceThis paper analyzes the introduction of multiple central cuts in a conic formu...
Interior-point methods have not only shown their efficiency for linear and some nonlinear programmin...
We analyze the complexity of the analytic center cutting plane or column generation algorithm for so...
We present a survey of nondifferentiable optimization problems and methods with special focus on the...
Proximal ACCPM is a variant of the analytic center cutting plane method, in which a proximal term is...
Proximal ACCPM is a variant of the analytic center cutting plane method, in which a proximal term is...
Thesis (Ph.D.)--University of Washington, 2017Convex optimization is more popular than ever, with ex...
In this paper we consider a new analytic center cutting plane method in an extended space. We prove ...
In this paper we consider a homogeneous analytic center cutting plane method in a projective space. ...
Support vector machines have recently attracted much attention in the machine learning and optimizat...