We use the globally convergent framework proposed by Kojima, Noma, and Yoshise to construct an infeasible-interior-point algorithm for monotone nonlinear complemen-tarity problems. Superlinear convergence is attained when the solution is nondegener-ate and also when the problem is linear. Numerical experiments conrm the ecacy of the proposed approach
programme 5 : traitement du signal, automatique et productiqueSIGLEAvailable at INIST (FR), Document...
For linear programming, a primal-dual interior-point algorithm was recently constructed by Zhang and...
An improved version of an infeasible full Newton-step interior-point method for linear optimization ...
We use the globally convergent framework proposed by Kojima, Noma, and Yoshise to construct an infea...
We use the globally convergent framework proposed by Kojima, Noma, and Yoshise to construct an infea...
. We present an infeasible-interior-point algorithm for monotone linear complementarity problems in ...
Abstract. We present a modified version of the infeasible-interiorpoint algorithm for monotone linea...
We consider a modication of a path-following infeasible-interior-point algorithm described by Wright...
In this talk, we present an infeasible full Newton-step Interior-Point Method for Linear Complementa...
Abstract. Recently, based upon the Chen-Harker-Kanzow-Smale smoothing function and the trajectory an...
A modified predictor-corrector algorithm is proposed for solving monotone linear complementarity pro...
he use of an Infeasible Interior-Point (IIP) algorithm is investigated for the solution of the Linea...
A large-step infeasible path-following method is proposed for solving general linear complementarity...
In this paper we consider an Infeasible Full Newton-step Interior-Point Method (IFNS-IPM) for monoto...
In this paper we consider an Infeasible Full Newton-step Interior-Point Method (IFNS-IPM) for monoto...
programme 5 : traitement du signal, automatique et productiqueSIGLEAvailable at INIST (FR), Document...
For linear programming, a primal-dual interior-point algorithm was recently constructed by Zhang and...
An improved version of an infeasible full Newton-step interior-point method for linear optimization ...
We use the globally convergent framework proposed by Kojima, Noma, and Yoshise to construct an infea...
We use the globally convergent framework proposed by Kojima, Noma, and Yoshise to construct an infea...
. We present an infeasible-interior-point algorithm for monotone linear complementarity problems in ...
Abstract. We present a modified version of the infeasible-interiorpoint algorithm for monotone linea...
We consider a modication of a path-following infeasible-interior-point algorithm described by Wright...
In this talk, we present an infeasible full Newton-step Interior-Point Method for Linear Complementa...
Abstract. Recently, based upon the Chen-Harker-Kanzow-Smale smoothing function and the trajectory an...
A modified predictor-corrector algorithm is proposed for solving monotone linear complementarity pro...
he use of an Infeasible Interior-Point (IIP) algorithm is investigated for the solution of the Linea...
A large-step infeasible path-following method is proposed for solving general linear complementarity...
In this paper we consider an Infeasible Full Newton-step Interior-Point Method (IFNS-IPM) for monoto...
In this paper we consider an Infeasible Full Newton-step Interior-Point Method (IFNS-IPM) for monoto...
programme 5 : traitement du signal, automatique et productiqueSIGLEAvailable at INIST (FR), Document...
For linear programming, a primal-dual interior-point algorithm was recently constructed by Zhang and...
An improved version of an infeasible full Newton-step interior-point method for linear optimization ...
View in ORKG