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The simplex method of linear programming using LU decomposition
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Communications of the ACM archive
Volume 12 ,  Issue 5  (May 1969) table of contents
Pages: 266 - 268  
Year of Publication: 1969
ISSN:0001-0782
Authors
Richard H. Bartels  Stanford Univ., CA
Gene H. Golub  Stanford Univ., CA
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 38,   Downloads (12 Months): 170,   Citation Count: 8
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ABSTRACT

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse after every step of the method. These implementations have bad round-off error properties. This paper gives the theoretical background for an implementation which is based upon the LU decomposition, computed with row interchanges, of the basic matrix. The implementation is slow, but has good round-off error behavior. The implementation appears as CACM Algorithm 350.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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DANTZIG, G.B. Linear Programming and Extensions. Princeton U. Press, Princeton, N.J., 1963.
 
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HADLEY, G. Linear Programming. Addison-Wesley, Reading, Mass., 1962.
 
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BARTELS, RICHARD H. A numerical investigation of the simplex method. Tech. Rep. No. CS 104, Comput. Sci. Dep., Stanford U., Stanford, Calif., July 1968.


Collaborative Colleagues:
Richard H. Bartels: colleagues
Gene H. Golub: colleagues