Abstract
The interesting auxiliary algorithm for simplex method by Luh and Tsaih (Computers and Operations Research 29 (2002)) and its modified version by B. J. Chaderjian and T. Gao (Computers and Operations Research 30 (2003)) present an effective method to start an initial basic feasible solution from an interior feasible solution. We modify the algorithm in the above reference. By using QR decomposition, a much smaller (n–m–k)×(n–m–k) matrix, in stead of a n×n matrix, is handled in k th iteration. The QR factors at each iteration can be obtained from its predecessor cheaply by an updating process. This substantially improve the efficiency of the algorithm proposed by Luh and Tsaih.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Illés, T., Terlaky, T.: Pivot Versus Interior Points Methods: Pros and Cons. European Journal of Operational Research 140, 170–190 (2002)
Paparrizos, K., Samaras, N., Stephanides, G.: An Efficient Simplex Type Algorithm for Sparse and Dense Linear Programs. European Journal of Operational Research 148, 323–334 (2003)
Pan, P.-Q.: A Revised Dual Projective Pivot Algorithm for Linear Programming. SIAM Journal on Optimization 16, 49–68 (2005)
Luh, H., Tsaih, R.: An Efficient Search Direction for Linear Programming Problems. Computers and Operations Research 29, 195–203 (2002)
Chaderjian, B.J., Gao, T.: Comments on An Efficient Search Direction for Linear Programming Problems by H. Luh and R. Tsaih. Computers and Operations Research 30, 1255–1258 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, W. (2006). On Auxiliary Algorithm for the Simplex Method by H. Luh and R. Tsaih. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing. ICIC 2006. Lecture Notes in Computer Science, vol 4113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816157_112
Download citation
DOI: https://doi.org/10.1007/11816157_112
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37271-4
Online ISBN: 978-3-540-37273-8
eBook Packages: Computer ScienceComputer Science (R0)