Mathematical Programming

, Volume 5, Issue 1, pp 1–28 | Cite as

Pivot selection methods of the Devex LP code

  • Paula M. J. Harris


Pivot column and row selection methods used by the Devex code since 1965 are published here for the first time. After a fresh look at the iteration process, the author introduces dynamic column weighting factors as a means of estimating gradients for the purpose of selecting a maximum gradient column. The consequent effect of this column selection on rounding error is observed. By allowing that a constraint may not be positioned so exactly as its precise representation in the computer would imply, a wider choice of pivot row is made available, so making room for a further selection criterion based on pivot size. Three examples are given of problems having between 2500 and 5000 rows, illustrating the overall time and iteration advantages over the standard simplex methods used today. The final illustration highlights why these standard methods take so many iterations. These algorithms were originally coded for the Atlas computer and were re-coded in 1969 for the Univac 1108.


Selection Method Iteration Process Simplex Method Precise Representation Maximum Gradient 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© The Mathematical Programming Society 1973

Authors and Affiliations

  • Paula M. J. Harris
    • 1
  1. 1.The British Petroleum Company LimitedLondonGreat Britain

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