" IfT An algorithm is developed for solving a special structured linear program. The particular structure studied has a large number of blocks coupled to-gether by a relatively few connecting equations. The method proposed is an extension of [2] and, from the basis, defines a working basis which is much smaller in size than the original. Two methods of updating the working basis are proposed.
AbstractAs one of the most important and fundamental concepts in the simplex methodology, basis is r...
We report on the development and implementation of a random generator for linear programming (LP) pr...
Nested decomposition of linear programs is the result of a multilevel, hierarchical application of t...
AbstractA variant of the revised simplex method is given for solving linear programs with M+L equati...
Large practical linear and integer programming problems are not always presented in a form which is ...
A simplex-based method of solving specific classes of large-scale linear programs is presented. The ...
A decomposition method for non-linear programming problems with structured linear constraints is des...
Abstract. The dynamic algorithm to compute a Gröbner basis is nearly twenty years old, yet it seems ...
AbstractA decomposition method for nonlinear programming problems with structured linear constraints...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
The goal of the Dynamic Buchberger Algorithm is to compute a Gröbner basis quickly by adjusting the ...
In recent years many advances have been made in solution techniques for specially structured 0–1 int...
The goal of the Dynamic Buchberger Algorithm is to compute a Gröbner basis quickly by adjusting the ...
In this paper a method to solve two different classes of low-rank gener- alized linear programs havi...
AbstractFor a linear program in which the constraint coefficients vary linearly with the time parame...
AbstractAs one of the most important and fundamental concepts in the simplex methodology, basis is r...
We report on the development and implementation of a random generator for linear programming (LP) pr...
Nested decomposition of linear programs is the result of a multilevel, hierarchical application of t...
AbstractA variant of the revised simplex method is given for solving linear programs with M+L equati...
Large practical linear and integer programming problems are not always presented in a form which is ...
A simplex-based method of solving specific classes of large-scale linear programs is presented. The ...
A decomposition method for non-linear programming problems with structured linear constraints is des...
Abstract. The dynamic algorithm to compute a Gröbner basis is nearly twenty years old, yet it seems ...
AbstractA decomposition method for nonlinear programming problems with structured linear constraints...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
The goal of the Dynamic Buchberger Algorithm is to compute a Gröbner basis quickly by adjusting the ...
In recent years many advances have been made in solution techniques for specially structured 0–1 int...
The goal of the Dynamic Buchberger Algorithm is to compute a Gröbner basis quickly by adjusting the ...
In this paper a method to solve two different classes of low-rank gener- alized linear programs havi...
AbstractFor a linear program in which the constraint coefficients vary linearly with the time parame...
AbstractAs one of the most important and fundamental concepts in the simplex methodology, basis is r...
We report on the development and implementation of a random generator for linear programming (LP) pr...
Nested decomposition of linear programs is the result of a multilevel, hierarchical application of t...