Abstract. Viewed geometrically, the simplex algorithm on a (primally and dually non-degenerate) linear program traces a monotone edge path from the starting vertex to the (unique) optimum. Which path it takes depends on the pivot rule. In this paper we survey geometric and combinatorial aspects of the situation: How do “real ” linear programs and their polyhedra look like? How long can simplex paths be in the worst case? Do short paths always exist? Can we expect randomized pivot rules (such as Random Edge) or deterministic rules (such as Zadeh’s rule) to find short paths? MSC 2000. 90C05, 52B11 Key words. Geometry of linear programs, polytopes and polyhedra, degeneracy
The Simplex method is the most popular algorithm for solving linear programs (LPs). Geometrically, i...
This dissertation discusses several problems motivated by the simplex method, one of the most influe...
It is well known how to clarify whether there is a polynomial time simplex algorithm for linear prog...
Linear programming is perhaps the most useful tool in optimization, much of it's success owed to the...
In the first part of the paper we survey some far-reaching applications of the basic facts of linear...
We show that a variant of the random-edge pivoting rule results in a strongly polynomial time simple...
In the first part of the paper we survey some far reaching applications of the basis facts of linear...
In the rst part of the paper we survey some far-reaching applications of the basic facts of linear p...
We investigate the behavior of randomized simplex algorithms on special linear programs. For this, w...
While variants of the steepest edge pivoting rule are commonly used in linear programming codes they...
The thesis begins by giving background in linear programming and Simplex methods. Topics covered inc...
The simplex method has been the veritable workhorse of linear programming for five decades now. An e...
Degeneracy has been the subject of much research in the field of mathematical programming, since it ...
peer reviewedMotivated by the problem of bounding the number of iterations of the Simplex algorithm ...
Most everyday algorithms are well-understood; predictions made theoretically about them closely mat...
The Simplex method is the most popular algorithm for solving linear programs (LPs). Geometrically, i...
This dissertation discusses several problems motivated by the simplex method, one of the most influe...
It is well known how to clarify whether there is a polynomial time simplex algorithm for linear prog...
Linear programming is perhaps the most useful tool in optimization, much of it's success owed to the...
In the first part of the paper we survey some far-reaching applications of the basic facts of linear...
We show that a variant of the random-edge pivoting rule results in a strongly polynomial time simple...
In the first part of the paper we survey some far reaching applications of the basis facts of linear...
In the rst part of the paper we survey some far-reaching applications of the basic facts of linear p...
We investigate the behavior of randomized simplex algorithms on special linear programs. For this, w...
While variants of the steepest edge pivoting rule are commonly used in linear programming codes they...
The thesis begins by giving background in linear programming and Simplex methods. Topics covered inc...
The simplex method has been the veritable workhorse of linear programming for five decades now. An e...
Degeneracy has been the subject of much research in the field of mathematical programming, since it ...
peer reviewedMotivated by the problem of bounding the number of iterations of the Simplex algorithm ...
Most everyday algorithms are well-understood; predictions made theoretically about them closely mat...
The Simplex method is the most popular algorithm for solving linear programs (LPs). Geometrically, i...
This dissertation discusses several problems motivated by the simplex method, one of the most influe...
It is well known how to clarify whether there is a polynomial time simplex algorithm for linear prog...