Strict monotonicity and improved complexity in the standard form projective algorithm for linear programming
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Mathematics,Software
Link
http://link.springer.com/content/pdf/10.1007/BF01585181.pdf
Reference26 articles.
1. K.M. Anstreicher, “A monotonic projective algorithm for fractional linear programming,”Algorithmica 1 (1986a) 483–498.
2. K.M. Anstreicher, “A strengthened acceptance criterion for approximate projections in Karmarkar's algorithm,”Operations Research Letters 5 (1986b) 211–214.
3. K.M. Anstreicher and R.A. Bosch, “Long steps in an O(n 3 L) algorithm for linear programming,”Mathematical Programming 54 (1992) 251–265.
4. Discussion Paper;K.M. Anstreicher,1990
5. G. de Ghellinck and J.-P. Vial, “A polynomial Newton method for linear programming,”Algorithmica 1 (1986) 425–453.
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1. Analyticity of weighted central paths and error bounds for semidefinite programming;Mathematical Programming;2007-06-26
2. Potential Reduction Algorithms;Applied Optimization;1996
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4. A Path-Following Projective Interior Point Method for Linear Programming;SIAM Journal on Optimization;1994-02
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