The dual of Fourier-Motzkin elimination is described and illustrated by a numerical example. It is pointed out that the method can generate an enormous number of columns rendering it impractical. If carried to completion all extreme solutions of the original model are generated. By restricting the generation of columns, only some of the extreme solutions will be produced. The best such feasible basis generated in this way can be used as a starting basis for the simplex algorithm. Therefore this restricted method can be regarded as a CRASHing procedure. Ways in which the method might be adapted for improved computational efficiency are suggested
Fourier-Motzkin elimination is a projection algorithm for solving finite linear programs. We extend ...
AbstractAs one of the most important and fundamental concepts in the simplex methodology, basis is r...
Abstract. We present an exact method for integer linear program-ming problems that combines branch a...
The dual of Fourier-Motzkin elimination is described and illustrated by a numerical example. It is p...
Column generation is a well-known and widely practiced technique for solving linear programs with to...
AbstractAn approach is proposed to generate a vertex solution while using a primal-dual interior poi...
Column generation is a well-known and widely practiced technique for solving linear programs with to...
We give a general description of a new advanced implementation of the simplex method for linear prog...
We present an exact method for integer linear programming problems that combines branch and bound wi...
In column generation schemes, particularly those proposed for set partitioning type problems, dynami...
This paper describes how the Fourier-Motzkin Elimination Method, which can be used for solving Linea...
AbstractThis paper describes how the Fourier-Motzkin Elimination Method, which can be used for solvi...
Given a non-empty, compact and convex set, and an a priori defined condition which each element eith...
Many algorithms for solving linearly constrained optimization problems maintain sets of basic variab...
A simplex-based method of solving specific classes of large-scale linear programs is presented. The ...
Fourier-Motzkin elimination is a projection algorithm for solving finite linear programs. We extend ...
AbstractAs one of the most important and fundamental concepts in the simplex methodology, basis is r...
Abstract. We present an exact method for integer linear program-ming problems that combines branch a...
The dual of Fourier-Motzkin elimination is described and illustrated by a numerical example. It is p...
Column generation is a well-known and widely practiced technique for solving linear programs with to...
AbstractAn approach is proposed to generate a vertex solution while using a primal-dual interior poi...
Column generation is a well-known and widely practiced technique for solving linear programs with to...
We give a general description of a new advanced implementation of the simplex method for linear prog...
We present an exact method for integer linear programming problems that combines branch and bound wi...
In column generation schemes, particularly those proposed for set partitioning type problems, dynami...
This paper describes how the Fourier-Motzkin Elimination Method, which can be used for solving Linea...
AbstractThis paper describes how the Fourier-Motzkin Elimination Method, which can be used for solvi...
Given a non-empty, compact and convex set, and an a priori defined condition which each element eith...
Many algorithms for solving linearly constrained optimization problems maintain sets of basic variab...
A simplex-based method of solving specific classes of large-scale linear programs is presented. The ...
Fourier-Motzkin elimination is a projection algorithm for solving finite linear programs. We extend ...
AbstractAs one of the most important and fundamental concepts in the simplex methodology, basis is r...
Abstract. We present an exact method for integer linear program-ming problems that combines branch a...