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- Q4924975 subject Q13279854.
- Q4924975 subject Q7153685.
- Q4924975 subject Q8429951.
- Q4924975 abstract "In mathematical optimization, Bland's rule (also known as Bland's algorithm or Bland's anti-cycling rule) is an algorithmic refinement of the simplex method for linear optimization.With Bland's rule, the simplex algorithm solves feasible linear optimization problems without cycling. There are examples of degenerate linear optimization problems on which the original simplex algorithm would cycle forever. Such cycles are avoided by Bland's rule for choosing a column to enter the basis.Bland's rule was developed by Robert G. Bland, now a professor of operations research at Cornell University.".
- Q4924975 wikiPageWikiLink Q13279854.
- Q4924975 wikiPageWikiLink Q134164.
- Q4924975 wikiPageWikiLink Q141495.
- Q4924975 wikiPageWikiLink Q16155113.
- Q4924975 wikiPageWikiLink Q17006040.
- Q4924975 wikiPageWikiLink Q202843.
- Q4924975 wikiPageWikiLink Q2642999.
- Q4924975 wikiPageWikiLink Q337040.
- Q4924975 wikiPageWikiLink Q49115.
- Q4924975 wikiPageWikiLink Q7153685.
- Q4924975 wikiPageWikiLink Q7344597.
- Q4924975 wikiPageWikiLink Q777234.
- Q4924975 wikiPageWikiLink Q8429951.
- Q4924975 wikiPageWikiLink Q92639.
- Q4924975 wikiPageWikiLink Q92866.
- Q4924975 comment "In mathematical optimization, Bland's rule (also known as Bland's algorithm or Bland's anti-cycling rule) is an algorithmic refinement of the simplex method for linear optimization.With Bland's rule, the simplex algorithm solves feasible linear optimization problems without cycling. There are examples of degenerate linear optimization problems on which the original simplex algorithm would cycle forever.".
- Q4924975 label "Bland's rule".