In my thesis I tried to describe the problems of choice of a pivot in the simplex method. The first part is devoted to the mathematical model of linear programming and simplex method in general. Here are explained the key concepts and principles of this method. There is the description of alternative rules for choosing a pivot using the simplex method in the second part. The description of each method is supported by example. I emphasize here the proofs of finite algorithm for each rule. In the last part of my thesis I have placed my own examples to show the different effects using different methods.Ve své práci jsem se pokusil popsat problematiku volby klíčového prvku v simplexové metodě. První část je věnovaná matematickému modelu úlohy l...
Abstract. A variety of pivot column selection rules based upon the gradient criteria (including the ...
Linear programming is perhaps the most useful tool in optimization, much of it's success owed to the...
International audienceA new variant of the Adaptive Method (AM) of Gabasov is presented, to minimize...
In my thesis I tried to describe the problems of choice of a pivot in the simplex method. The first ...
The simplex method is one way of solving a linear programming problem (LP-problem). The simplex meth...
Several variations of index selection rules for simplex-type algorithms for linear programming, like...
Several variations of index selection rules for simplex-type algorithms for linear programming, like...
A simple idea used in many combinatorial algorithms is the idea of pivoting. Originally, it comes fr...
The simplex method, created by George Dantzig, optimally solves a linear program by pivoting. Dantzi...
A simple idea used in many combinatorial algorithms is the idea of pivoting. Originally,...
In the first part of the paper we survey some far-reaching applications of the basic facts of linear...
textabstractIn this paper we generalize the so-called first-in-last-out pivot rule and the most-ofte...
In the first part of the paper we survey some far-reaching applications of the basic facts of linear...
Pricing is a significant step in the simplex algorithm where an improving nonbasic variable is se...
Abstract. A variety of pivot column selection rules based upon the gradient criteria (including the ...
Abstract. A variety of pivot column selection rules based upon the gradient criteria (including the ...
Linear programming is perhaps the most useful tool in optimization, much of it's success owed to the...
International audienceA new variant of the Adaptive Method (AM) of Gabasov is presented, to minimize...
In my thesis I tried to describe the problems of choice of a pivot in the simplex method. The first ...
The simplex method is one way of solving a linear programming problem (LP-problem). The simplex meth...
Several variations of index selection rules for simplex-type algorithms for linear programming, like...
Several variations of index selection rules for simplex-type algorithms for linear programming, like...
A simple idea used in many combinatorial algorithms is the idea of pivoting. Originally, it comes fr...
The simplex method, created by George Dantzig, optimally solves a linear program by pivoting. Dantzi...
A simple idea used in many combinatorial algorithms is the idea of pivoting. Originally,...
In the first part of the paper we survey some far-reaching applications of the basic facts of linear...
textabstractIn this paper we generalize the so-called first-in-last-out pivot rule and the most-ofte...
In the first part of the paper we survey some far-reaching applications of the basic facts of linear...
Pricing is a significant step in the simplex algorithm where an improving nonbasic variable is se...
Abstract. A variety of pivot column selection rules based upon the gradient criteria (including the ...
Abstract. A variety of pivot column selection rules based upon the gradient criteria (including the ...
Linear programming is perhaps the most useful tool in optimization, much of it's success owed to the...
International audienceA new variant of the Adaptive Method (AM) of Gabasov is presented, to minimize...