Multiple correction was introduced by Gondzio (5) to accelerate the convergence of iterates generated by primal-dual interior-point algorithms for linear programming. In this work, we implement the multiple correction technique in the interior-point linear programming software LIPSOL with our modifications. In our implementation, we have used modified criteria to start and stop the multiple correction process in order to achieve high efficiency under the LIPSOL environment. In addition, we have implemented a more thorough presolve analysis to enhance the solver's efficiency. The main presolve technique addressed in this work is to eliminate implied free variables. We have performed extensive computational experiments on the Netlib set of li...
In this work we devise efficient algorithms for finding the search directions for interior point met...
We present a modified version of Ye\u27s potential reduction algorithm for linear programming. By us...
The current project is a renewal of the PI`s previous projects supported by the Department of Energy...
this paper, we describe our implementation of a primal-dual infeasible-interior-point algorithm for ...
Implementations of the primal-dual approach in solving linear programming problems still face issues...
The efficiency of interior-point algorithms for linear programming is related to the effort required...
. In this paper, we discuss efficient implementation of a new class of preconditioners for linear sy...
ii This thesis gives an overall survey of preprocessing and postprocessing techniques in linear opti...
ABSTRACT Interior point methods have been widely used to determine the solution of large-scale linea...
Linear Programming (LP) is a powerful decision making tool extensively used in various economic and ...
Employing a new primal-dual corrector algorithm, we investigate the impact that corrector directions...
In this work we devise efficient algorithms for finding the search directions for interior point met...
An interior point algorithm for obtaining a proximal point solution of a linear program is presented...
Many issues that are crucial for an efficient implementation of an interior point algorithm are addr...
Due to the structure of the solution set, an exact solution to a linear program cannot be computed b...
In this work we devise efficient algorithms for finding the search directions for interior point met...
We present a modified version of Ye\u27s potential reduction algorithm for linear programming. By us...
The current project is a renewal of the PI`s previous projects supported by the Department of Energy...
this paper, we describe our implementation of a primal-dual infeasible-interior-point algorithm for ...
Implementations of the primal-dual approach in solving linear programming problems still face issues...
The efficiency of interior-point algorithms for linear programming is related to the effort required...
. In this paper, we discuss efficient implementation of a new class of preconditioners for linear sy...
ii This thesis gives an overall survey of preprocessing and postprocessing techniques in linear opti...
ABSTRACT Interior point methods have been widely used to determine the solution of large-scale linea...
Linear Programming (LP) is a powerful decision making tool extensively used in various economic and ...
Employing a new primal-dual corrector algorithm, we investigate the impact that corrector directions...
In this work we devise efficient algorithms for finding the search directions for interior point met...
An interior point algorithm for obtaining a proximal point solution of a linear program is presented...
Many issues that are crucial for an efficient implementation of an interior point algorithm are addr...
Due to the structure of the solution set, an exact solution to a linear program cannot be computed b...
In this work we devise efficient algorithms for finding the search directions for interior point met...
We present a modified version of Ye\u27s potential reduction algorithm for linear programming. By us...
The current project is a renewal of the PI`s previous projects supported by the Department of Energy...