The predictor-corrector interior-point path-following algorithm is promising in solving multistage convex programming problems. Among many other general good features of this algorithm, especially attractive is that the algorithm allows possibility to parallelise the major computations. The dynamic structure of the multistage problems specifies a block-tridiagonal system at each Newton step of the algorithm. A wrap-around permutation is then used to implement the parallel computation for this step
This paper proposes three numerical algorithms based on Karmarkar’s interior point technique for sol...
This paper presents a parallelizable algorithm for deploying a primal-dual interior point method on ...
We present a parallel interior point algorithm to solve block structured linear programs. This algor...
In this contribution we present two interior-point path-following algorithms that solve the convex o...
Abstract-Receding horizon control requires the solution of an optimization problem at every sampling...
Written for specialists working in optimization, mathematical programming, or control theory. The ge...
The interior point method (IPM) is now well established as a competitive technique for solving very ...
This paper concerns the use of iterative solvers in interior point methods for linear and quadratic...
An implementation of the primal-dual predictor-corrector interior point method is specialized to sol...
. An interior path-following algorithm is proposed for solving the nonlinear saddle point problem mi...
Abstract. Solution methods for very large scale optimization problems are addressed in this paper. I...
summary:The method of projections onto convex sets to find a point in the intersection of a finite n...
Merhotra type primal-dual predictor-corrector interior-point algorithms for semidefinite programming...
A new initialization or `Phase I' strategy for feasible interior point methods for linear programmin...
We present the technical details of an interior--point method for the solution of subproblems that a...
This paper proposes three numerical algorithms based on Karmarkar’s interior point technique for sol...
This paper presents a parallelizable algorithm for deploying a primal-dual interior point method on ...
We present a parallel interior point algorithm to solve block structured linear programs. This algor...
In this contribution we present two interior-point path-following algorithms that solve the convex o...
Abstract-Receding horizon control requires the solution of an optimization problem at every sampling...
Written for specialists working in optimization, mathematical programming, or control theory. The ge...
The interior point method (IPM) is now well established as a competitive technique for solving very ...
This paper concerns the use of iterative solvers in interior point methods for linear and quadratic...
An implementation of the primal-dual predictor-corrector interior point method is specialized to sol...
. An interior path-following algorithm is proposed for solving the nonlinear saddle point problem mi...
Abstract. Solution methods for very large scale optimization problems are addressed in this paper. I...
summary:The method of projections onto convex sets to find a point in the intersection of a finite n...
Merhotra type primal-dual predictor-corrector interior-point algorithms for semidefinite programming...
A new initialization or `Phase I' strategy for feasible interior point methods for linear programmin...
We present the technical details of an interior--point method for the solution of subproblems that a...
This paper proposes three numerical algorithms based on Karmarkar’s interior point technique for sol...
This paper presents a parallelizable algorithm for deploying a primal-dual interior point method on ...
We present a parallel interior point algorithm to solve block structured linear programs. This algor...