In dieser Arbeit wird ein auf eine Spezial-Verteilung reduzierter Beweis für die mittlere Schrittzahl beim Simplexverfahren angegeben. Wir beschränken uns dabei auf die Situation, wo alle Restriktionsvektoren (das sind die Zeilen der Restriktionsmatrix) gleiche euklidische Länge haben und wo die Restriktionsanzahl sehr sehr viel größer ist als die Variablenanzahl. Unter dieser Konstellation wird das, was unter allgemeinen Bedingungen aufwändig bewiesen werden muss, sehr viel einfacher und mit dem Arsenal von Analysis III, Lineare Algebra II und Optimierung I absolut verstehbar.In this paper we give a proof for the average number of steps in the Simplex Method which is reduced to a special distribution. We restrict to the situation, where al...
In the first part of the paper we survey some far-reaching applications of the basic facts of linear...
The simplex method for linear programming is known to be highly efficient in practice, and understan...
Despite their very good empirical performance most of the simplex algorithm's variants require expon...
The thesis begins by giving background in linear programming and Simplex methods. Topics covered inc...
This paper deals with the average-case-analysis of the number of pivot steps required by the simplex...
AbstractWe present a variant of the Simplex method which requires on the average at most 2 (min(m, d...
Explaining the excellent practical performance of the simplex method for linear programming has been...
Abstract Kitahara and Mizuno (2011a) obtained an upper bound for the number of different solutions g...
Linear Optimization is an important area from applied mathematics. A lot of practical problems can b...
A Really GENERAL Decomposition Algorithm for Very Large Linear Optimization Problems Proven theory ...
The smoothed analysis of algorithms is concerned with the expected running time of an algor...
AbstractThis paper deals with the rounding-error analysis of the simplex method for solving linear-p...
AbstractA modification of the revised simplex algorithm is considered where every step involves O(m2...
In this paper, an alternative approach to the simplex method of linear programming is suggested. The...
Presented as part of the Workshop on Algorithms and Randomness on May 17, 2018 at 2:45 p.m. in the K...
In the first part of the paper we survey some far-reaching applications of the basic facts of linear...
The simplex method for linear programming is known to be highly efficient in practice, and understan...
Despite their very good empirical performance most of the simplex algorithm's variants require expon...
The thesis begins by giving background in linear programming and Simplex methods. Topics covered inc...
This paper deals with the average-case-analysis of the number of pivot steps required by the simplex...
AbstractWe present a variant of the Simplex method which requires on the average at most 2 (min(m, d...
Explaining the excellent practical performance of the simplex method for linear programming has been...
Abstract Kitahara and Mizuno (2011a) obtained an upper bound for the number of different solutions g...
Linear Optimization is an important area from applied mathematics. A lot of practical problems can b...
A Really GENERAL Decomposition Algorithm for Very Large Linear Optimization Problems Proven theory ...
The smoothed analysis of algorithms is concerned with the expected running time of an algor...
AbstractThis paper deals with the rounding-error analysis of the simplex method for solving linear-p...
AbstractA modification of the revised simplex algorithm is considered where every step involves O(m2...
In this paper, an alternative approach to the simplex method of linear programming is suggested. The...
Presented as part of the Workshop on Algorithms and Randomness on May 17, 2018 at 2:45 p.m. in the K...
In the first part of the paper we survey some far-reaching applications of the basic facts of linear...
The simplex method for linear programming is known to be highly efficient in practice, and understan...
Despite their very good empirical performance most of the simplex algorithm's variants require expon...