Zadaniem programowania liniowego jest optymalizacja funkcji nazywanej funkcją celu na zbiorze rozwiązań dupuszczalnych, opisanych nierównościami.W pierwszej części zaprezentowany został warunek konieczny i dostateczny optymalizacji, następnie zdefiniowano problem dualizmu oraz przedstawiono podstawowe twierdzenia i lematy. Kolejna część skupia się na uogólnieniu dualizmu. Ostatni rozdział pokazuje zastosowanie do niehomogenicznego lematu Farkasa.The aim of linear programming is optimalization some special functions called objective functions on allowed solution sets. In the first part there are shown necessary and sufficient conditions of optimality next there is defined problem of duality and some basic theorems and lemmas. Next part focus...
textabstractIn this paper we discuss necessary and sufficient conditions for different minimax resul...
One of the most important facts to solve a linear programming model is that the solutions of the pri...
AbstractA duality theory is derived for minimizing the maximum of a finite set of convex functions s...
Práce poskytuje teoretické podklady týkající se lineárního programování. Dále poskytuje informace o ...
W pracy zajęto się jedynie specjalną klasą zagadnień programowania matematycznego, mianowicie progra...
The duality principle provides that optimization problems may be viewed from either of two perspecti...
<p><span>The duality principle provides that optimization problems may be viewed from either of two ...
In linear programming it is known that an appropriate non-homogeneous Farkas Lemma leads to a short ...
The rigorous formal algorithm for formulating a dual problem for different forms (general, basic, st...
Cilj ovog rada je razviti teorijske koncepte i računske tehnike linearnog programiranja i teorije i...
The rigorous formal algorithm for formulating a dual problem for different forms (general, basic, st...
Cilj ovog rada je razviti teorijske koncepte i računske tehnike linearnog programiranja i teorije i...
AbstractTwo dual problems are proposed for the minimax problem: minimize maxy ϵ Y φ(x, y), subject t...
In this paper we discuss necessary and sufficient conditions for different minimax results to hold u...
textabstractIn this paper we discuss necessary and sufficient conditions for different minimax resu...
textabstractIn this paper we discuss necessary and sufficient conditions for different minimax resul...
One of the most important facts to solve a linear programming model is that the solutions of the pri...
AbstractA duality theory is derived for minimizing the maximum of a finite set of convex functions s...
Práce poskytuje teoretické podklady týkající se lineárního programování. Dále poskytuje informace o ...
W pracy zajęto się jedynie specjalną klasą zagadnień programowania matematycznego, mianowicie progra...
The duality principle provides that optimization problems may be viewed from either of two perspecti...
<p><span>The duality principle provides that optimization problems may be viewed from either of two ...
In linear programming it is known that an appropriate non-homogeneous Farkas Lemma leads to a short ...
The rigorous formal algorithm for formulating a dual problem for different forms (general, basic, st...
Cilj ovog rada je razviti teorijske koncepte i računske tehnike linearnog programiranja i teorije i...
The rigorous formal algorithm for formulating a dual problem for different forms (general, basic, st...
Cilj ovog rada je razviti teorijske koncepte i računske tehnike linearnog programiranja i teorije i...
AbstractTwo dual problems are proposed for the minimax problem: minimize maxy ϵ Y φ(x, y), subject t...
In this paper we discuss necessary and sufficient conditions for different minimax results to hold u...
textabstractIn this paper we discuss necessary and sufficient conditions for different minimax resu...
textabstractIn this paper we discuss necessary and sufficient conditions for different minimax resul...
One of the most important facts to solve a linear programming model is that the solutions of the pri...
AbstractA duality theory is derived for minimizing the maximum of a finite set of convex functions s...