Revised simplex method: Difference between revisions

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changed "maximize" to "minimize"
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where {{math|'''''λ'''''}} and {{math|'''''s'''''}} are the [[Lagrange multiplier]]s associated with the constraints {{math|'''''Ax''''' {{=}} '''''b'''''}} and {{math|'''''x''''' ≥ '''0'''}}, respectively.{{sfn|Nocedal|Wright|2006|p=358|loc=Eq.&nbsp;13.4}} The last condition, which is equivalent to {{math|''s<sub>i</sub>x<sub>i</sub>'' {{=}} 0}} for all {{math|1 < ''i'' < ''n''}}, is called the ''complementary slackness condition''.
 
By what is sometimes known as the ''fundamental theorem of linear programming'', a vertex {{math|'''''x'''''}} of the feasible polytope can be identified by being a basis {{math|'''''B'''''}} of {{math|'''''A'''''}} chosen from the latter's columns.{{efn|The same theorem also states that the feasible polytope has at least one vertex and that there is at least one vertex which is optimal.{{sfn|Nocedal|Wright|2006|p=363|loc=Theorem&nbsp;13.2}}}} Since {{math|'''''A'''''}} has full rank, {{math|'''''B'''''}} is nonsingular. Without loss of generality, assume that {{math|'''''A''''' {{=}} &#91;['''''B'''''&ensp; '''''N'''''&#93;]}}. Then {{math|'''''x'''''}} is given by
 
:<math>
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</math>
 
initially, which corresponds to a feasible vertex {{math|'''''x''''' {{=}} &#91;[0&ensp; 0&ensp; 0&ensp; 10&ensp; 15&#93;]<sup>T</sup>}}. At this moment,
 
:<math>
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</math>
 
Choose {{math|''q'' {{=}} 3}} as the entering index. Then {{math|'''''d''''' {{=}} &#91;[1&ensp; 3&#93;]<sup>T</sup>}}, which means a unit increase in {{math|''x''<sub>3</sub>}} results in {{math|''x''<sub>4</sub>}} and {{math|''x''<sub>5</sub>}} being decreased by {{math|1}} and {{math|3}}, respectively. Therefore, {{math|''x''<sub>3</sub>}} is increased to {{math|5}}, at which point {{math|''x''<sub>5</sub>}} is reduced to zero, and {{math|''p'' {{=}} 5}} becomes the leaving index.
 
After the pivot operation,