"Prugrammazzioni liniàri" : Diffirenzi ntrê virsioni

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Riga 40:
A tiurìa i rarrieri a prugrammazzioni liniàri arriduci drasticamenti lu nummiru di suluzziona uttimali pussibbili ca ana ssiri cuntrullati.
 
==UsesUtilizza==
A prugrammazzioni liniàri eni un campu di ottimizzazzioni cunsidirevuli ppi diffirenti ragghiuna.<br>
Linear programming is a considerable field of optimization for several reasons. Many practical problems in [[operations research]] can be expressed as linear programming problems. Certain special cases of linear programming, such as ''network flow'' problems and ''multicommodity flow'' problems are considered important enough to have generated much research on specialized algorithms for their solution. A number of algorithms for other types of optimization problems work by solving LP problems as sub-problems. Historically, ideas from linear programming have inspired many of the central concepts of optimization theory, such as ''duality,'' ''decomposition,'' and the importance of ''convexity'' and its generalizations. Likewise, linear programming is heavily used in [[microeconomics]] and company management, such as planning, production, transportation, technology and other issues. Although the modern management issues are ever-changing, most companies would like to maximize profits or minimize costs with limited resources. Therefore, many issues can boil down to linear programming problems.
Nu munzieddu di prubblema pratici 'nta a [[ricerca upirativa]] ponu ssiri spressi comu prubblmea di prugrammaziona liniàri.<br>
Certi casi spiciàli di prugrammaziona liniàri comu lu prubblema di ''flussu di riti'' e li prubblema di ''flussu di multicumuditati'' sunu cunzidirati abbastanza 'mpurtanti.<br>
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Linear programming is a considerable field of optimization for several reasons. Many practical problems in [[operations research]] can be expressed as linear programming problems. Certain special cases of linear programming, such as p''network flow'' problems and ''multicommodity flow'' problems are considered important enough to haveaviri generated much research on specialized algorithms for their solution. A number of algorithms for other types of optimization problems work by solving LP problems as sub-problems. Historically, ideas from linear programming have inspired many of the central concepts of optimization theory, such as ''duality,'' ''decomposition,'' and the importance of ''convexity'' and its generalizations. Likewise, linear programming is heavily used in [[microeconomics]] and company management, such as planning, production, transportation, technology and other issues. Although the modern management issues are ever-changing, most companies would like to maximize profits or minimize costs with limited resources. Therefore, many issues can boil down to linear programming problems.
 
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Chissu sintissi a ddiri ca a funzioni ubbiettivu po ssiri macari scritta comu:<br>