Linear optimization: Formulation and graphical solution

May 11th, 2015
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Linear optimization is one of the main proceedings to solve linear programming problems and is used as a tool to make optimal decisions in complex production scheduling. Field of application This method was first mentioned in 1939 and was then used by the military to optimize military operations. Today it is represented in almost every optimization process (for example in product manufacturing to achieve the greatest profit).

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optimiziraneLinear optimization: Formulation and graphical solution of a LP 3 Nicht markiertWechseln zu: Navigation, SucheInhaltsverzeichnis1 Introduction2 Mathematical formulation3 Graphical solution4 Special cases5 SourcesIntroduction Linear optimization is one of the main proceedings to solve linear programming problems and is used as a tool to make optimal decisions in complex production scheduling. Field of application This method was first mentioned in 1939 and was then used by the military to optimize military operations. Today it is represented in almost every optimization process (for example in product manufacturing to achieve the greatest profit). Furthermore linear optimization is also used in game theory to determine the optimum of mixed strategies. In addition it is used in the food industry in order to achieve an ideal balance of nutrients when at the same time the cost should be as low as possible. There are many other fields of application. Especially in economy, technology and management linear optimization is a very important tool to achieve the highest possible efficiency. With this method it is possible to calculate maxima and minima of a linear objective function considering the restrictions which are given by linear inequalities and equations. The maxima usually represent profit (of the company), while the minima represent the cost. Mathematical formulation Were looking for an optimal solution, that fulfills specific linear res

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