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In [[optimization (mathematics)|mathematical optimization]], [[George Dantzig|Dantzig]]'s '''simplex algorithm''' (or '''simplex method''') is a popular [[algorithm]] for [[linear programming]].<ref name="Murty">{{cite book|last=Murty|first=Katta G.|authorlink=Katta G. Murty|title=Linear programming|publisher=John Wiley & Sons Inc.|___location=New York|year=1983|pages=xix+482|isbn=0-471-09725-X|mr=720547}}</ref><ref name="BasicDantzig">Richard W. Cottle, ed. ''The Basic George B. Dantzig''. Stanford Business Books, Stanford University Press, Stanford, California, 2003. (Selected papers by [[George B. Dantzig]])</ref><ref name="DantzigThapa1">[[George B. Dantzig]] and Mukund N. Thapa. 1997. ''Linear programming 1: Introduction''. Springer-Verlag.</ref><ref name="DantzigThapa2" >
[[George B. Dantzig]] and Mukund N. Thapa. 2003. ''Linear Programming 2: Theory and Extensions''. Springer-Verlag.</ref><ref name="Todd" >{{cite journal|author=[[Michael J. Todd (mathematician)|Michael J. Todd]] |
The name of the algorithm is derived from the concept of a [[simplex]] and was suggested by [[Theodore Motzkin|T. S. Motzkin]].<ref name="Murty22" >{{harvtxt|Murty|1983|loc=Comment 2.2}}</ref> Simplices are not actually used in the method, but one interpretation of it is that it operates on simplicial ''[[cone (geometry)|cone]]s'', and these become proper simplices with an additional constraint.<ref name="Murty39">{{harvtxt|Murty|1983|loc=Note 3.9}}</ref><ref name="StoneTovey">{{cite journal|last1=Stone|first1=Richard E.|last2=Tovey|first2=Craig A.|title=The simplex and projective scaling algorithms as iteratively reweighted least squares methods|journal=SIAM Review|volume=33|year=1991|issue=2|pages=220–237
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