In this paper we give a modification of the first phase procedure for transforming the linear programming problem, given in the standard form to the canonical form, i.e., to the form with one feasible primal basis where standard simplex algorithm can be applied directly. The main idea of the paper is to avoid adding m artificial variables in the first phase. Instead, Step 2 of the proposed algorithm transforms the problem to the form with 1m − basic columns. Step 3 is then iterated until the m th− basic column is obtained, or it is concluded that the feasible set of LP problem is empty
Abstract. Unlike the classical method, orthogonal transformations are used for computing more precis...
We develop a single artificial variable technique to initialize the primal support method for solvin...
The dual simplex algorithm is an attractive alternative method for solving linear programming proble...
The basic technique for solving LP problems is still the simplex method [2]. It has many variants bu...
The simplex method is one way of solving a linear programming problem (LP-problem). The simplex meth...
Although the simplex method's performance in solving linear programming problems is usually quite go...
AbstractAs one of the most important and fundamental concepts in the simplex methodology, basis is r...
When used on degenerate problems, the simplex method often takes a number of degenerate steps at a p...
Many algorithms of solving linear programs are based on the revised simplex method. The product form...
In this paper, an alternative approach to the simplex method of linear programming is suggested. The...
This short note provides and proves an easy algorithm to find a basic feasible solution for the Simp...
In this paper, a new approach is suggested while solving linear programming problems using simplex m...
This thesis discusses the basic problems of solving a linear programming problem. A definition of th...
With emphasis on computation, this book is a real breakthrough in the field of LP. In addition to co...
We give a general description of a new advanced implementation of the simplex method for linear prog...
Abstract. Unlike the classical method, orthogonal transformations are used for computing more precis...
We develop a single artificial variable technique to initialize the primal support method for solvin...
The dual simplex algorithm is an attractive alternative method for solving linear programming proble...
The basic technique for solving LP problems is still the simplex method [2]. It has many variants bu...
The simplex method is one way of solving a linear programming problem (LP-problem). The simplex meth...
Although the simplex method's performance in solving linear programming problems is usually quite go...
AbstractAs one of the most important and fundamental concepts in the simplex methodology, basis is r...
When used on degenerate problems, the simplex method often takes a number of degenerate steps at a p...
Many algorithms of solving linear programs are based on the revised simplex method. The product form...
In this paper, an alternative approach to the simplex method of linear programming is suggested. The...
This short note provides and proves an easy algorithm to find a basic feasible solution for the Simp...
In this paper, a new approach is suggested while solving linear programming problems using simplex m...
This thesis discusses the basic problems of solving a linear programming problem. A definition of th...
With emphasis on computation, this book is a real breakthrough in the field of LP. In addition to co...
We give a general description of a new advanced implementation of the simplex method for linear prog...
Abstract. Unlike the classical method, orthogonal transformations are used for computing more precis...
We develop a single artificial variable technique to initialize the primal support method for solvin...
The dual simplex algorithm is an attractive alternative method for solving linear programming proble...