The purpose of this work is to present the APOS linear programming (LP) solver intended for solution of large-scale sparse LP problems. The solver is based on the homogeneous interior- point algorithm which in contrast to the primal-dual algorithm detects a possible primal or dual infeasibility reliably. It employs advanced (parallelized) linear algebra, it handles dense columns in the constraint matrix efficiently, and it has a basis identification procedure. Moreover, recently the solver has been incorporated into the commercially available XPRESS-MP software. This paper discusses in details the algorithm and linear algebra employed by the APOS LP solver. In particular the homogeneous algorithm is emphasized. Furthermore, extensive com- p...
The computational burden of primal-dual interior point methods for linear program-ming relies on the...
Recent advances in linear programming solution methodology have focused on interior point algorithms...
AbstractWe have developed two public domain linear programming programs for several years, LPAKO and...
The interior point method (IPM) is now well established as a competitive technique for solving very ...
In this paper we describe a unified algorithmic framework for the interior point method (IPM) of sol...
In this paper, we describe our implementation of a primal-dual infeasible-interior-point algorithm f...
The interior point method (IPM) is now well established as a competitive technique for solving very ...
This report summarizes the research and development performed from October 2002 to September 2004 at...
Get to know two different techniques in retrieving parallelism hidden in a general purpose linear pr...
In this paper we describe a unified scheme for implementing an interior point algorithm (IPM) over a...
The interior point method (IPM) is now well established as a computationaly com-petitive scheme for ...
Abstract—The simplex method is perhaps the most widely used method for solving linear programming (L...
. This paper describes the implementation of power series dual affine scaling variants of Karmarkar&...
Solvers for large sparse linear systems come in two categories: di-rect and iterative. Amesos2, a pa...
International audienceIn this talk we will discuss our research activities on the design of parallel...
The computational burden of primal-dual interior point methods for linear program-ming relies on the...
Recent advances in linear programming solution methodology have focused on interior point algorithms...
AbstractWe have developed two public domain linear programming programs for several years, LPAKO and...
The interior point method (IPM) is now well established as a competitive technique for solving very ...
In this paper we describe a unified algorithmic framework for the interior point method (IPM) of sol...
In this paper, we describe our implementation of a primal-dual infeasible-interior-point algorithm f...
The interior point method (IPM) is now well established as a competitive technique for solving very ...
This report summarizes the research and development performed from October 2002 to September 2004 at...
Get to know two different techniques in retrieving parallelism hidden in a general purpose linear pr...
In this paper we describe a unified scheme for implementing an interior point algorithm (IPM) over a...
The interior point method (IPM) is now well established as a computationaly com-petitive scheme for ...
Abstract—The simplex method is perhaps the most widely used method for solving linear programming (L...
. This paper describes the implementation of power series dual affine scaling variants of Karmarkar&...
Solvers for large sparse linear systems come in two categories: di-rect and iterative. Amesos2, a pa...
International audienceIn this talk we will discuss our research activities on the design of parallel...
The computational burden of primal-dual interior point methods for linear program-ming relies on the...
Recent advances in linear programming solution methodology have focused on interior point algorithms...
AbstractWe have developed two public domain linear programming programs for several years, LPAKO and...