Many algorithms of solving linear programs are based on the revised simplex method. The product form of the inverse is used to inverse the base in the revised simplex method.We present in this paper an inversion of matrix which complexity is quadratic. This method is more efficient than the product form of the inverse. We tested the revised simplex method and the algorithm proposed about 55 linear problems. The densities of the LPs are 10%, 5 % and 2.5%. they are randomly generated
We give a general description of a new advanced implementation of the simplex method for linear prog...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
AbstractA variant of the revised simplex method is given for solving linear programs with M+L equati...
Using the simplex method (SM) is one of the most effective ways of solving large scale real life lin...
Abstract. Unlike the classical method, orthogonal transformations are used for computing more precis...
Iterative algorithms for solving the inverse problem, presented as a quadratic programming problem, ...
Methods for representing the inverse of Linear Programming (LP) basis matrices are closely related t...
In this paper we give a modification of the first phase procedure for transforming the linear progra...
This thesis discusses the basic problems of solving a linear programming problem. A definition of th...
To solve problems, operation research suggests formulation into mathematical form so-called mathemat...
A simplex-based method of solving specific classes of large-scale linear programs is presented. The ...
P(論文)Since G.B.Dantzig proposed Simplex Method for solving the linear programming problems, a lot of...
The simplex method is one way of solving a linear programming problem (LP-problem). The simplex meth...
In this paper, a new approach is suggested while solving linear programming problems using simplex m...
AbstractIn this paper we consider some inverse LP problems in which we need to adjust the cost coeff...
We give a general description of a new advanced implementation of the simplex method for linear prog...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
AbstractA variant of the revised simplex method is given for solving linear programs with M+L equati...
Using the simplex method (SM) is one of the most effective ways of solving large scale real life lin...
Abstract. Unlike the classical method, orthogonal transformations are used for computing more precis...
Iterative algorithms for solving the inverse problem, presented as a quadratic programming problem, ...
Methods for representing the inverse of Linear Programming (LP) basis matrices are closely related t...
In this paper we give a modification of the first phase procedure for transforming the linear progra...
This thesis discusses the basic problems of solving a linear programming problem. A definition of th...
To solve problems, operation research suggests formulation into mathematical form so-called mathemat...
A simplex-based method of solving specific classes of large-scale linear programs is presented. The ...
P(論文)Since G.B.Dantzig proposed Simplex Method for solving the linear programming problems, a lot of...
The simplex method is one way of solving a linear programming problem (LP-problem). The simplex meth...
In this paper, a new approach is suggested while solving linear programming problems using simplex m...
AbstractIn this paper we consider some inverse LP problems in which we need to adjust the cost coeff...
We give a general description of a new advanced implementation of the simplex method for linear prog...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
AbstractA variant of the revised simplex method is given for solving linear programs with M+L equati...