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Revised Simplex Method. 1.0

 
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This function is able to detect almost all types of properties/characteristics present in an LPP such as unbounded solution, alternate optima, degenaracy/cycling and infeasibilty. It only fails to work when there are redundant constraints present in the problem. However, it is rare and can be easily avoided by the user by just checking/ensuring that rank(a) should not be less than the number of constraints. As finding rank of big matrices has high complexity, this check has not been given here and it is expected that user would take care of such cases. In such cases usually it is easily seen that some constraints are linearly dependent and hence can be eliminated. Rest of the cases show good results. For theory of Revised Simplex method and LPPone may see "Numerical Optimization with Applications, Chandra S., Jayadeva, Mehra A., Alpha Science Internatinal Ltd, 2009."

Tags: Alternate Optima, Lpp, And Can, Alpha Science, Almost All, Able To, Types, And Hence, Infeasibilty, Redundant, Finding, Linearly, Applications Chandra, And It, Lppone, Care, Work, User, Cases Show, Problem

Platforms: BSD , Mac OS X , Solaris , linux

 
Added: 12 June, 2013 06:13 File size: 10.0 KB
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Tags: Alternate Optima, Lpp, And Can, Alpha Science, Almost All, Able To, Types, And Hence, Infeasibilty, Redundant, Finding, Linearly, Applications Chandra, And It, Lppone, Care, Work, User, Cases Show, Problem

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