Abstract
Anstreicher has proposed a variant of Karmarkar's projective algorithm that handles standard-form linear programming problems nicely. We suggest modifications to his method that we suspect will lead to better search directions and a more useful algorithm. Much of the analysis depends on a two-constraint linear programming problem that is a relaxation of the scaled original problem.
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References
K.M. Anstreicher, “A monotonic projective algorithm for fractional linear programming,”Algorithmica 1 (1986) 483–498.
K.M. Anstreicher, “A combined phase I—phase II projective algorithm for linear programming,”Mathematical Programming 43 (1989) 209–223.
G. de Ghellinck and J.-Ph. Vial, “A polynomial Newton method for linear programming,”Algorithmica 1 (1986) 425–453.
M.E. Dyer, “Linear time algorithms for two- and three-variable linear programs,”SIAM Journal on Computing 13 (1984) 31–45.
D. Gay, “A variant of Karmarkar's linear programming algorithm for problems in standard form,”Mathematical Programming 37 (1987) 81–90.
C. Gonzaga, “Conical projection algorithms for linear programming,”Mathematical Programming 43 (1989) 151–173.
C. Gonzaga, “Search directions for interior linear programming methods,”Algorithmica 6 (1991) 153–181.
N. Karmarkar, “A new polynomial time algorithm for linear programming,”Combinatorica 4 (1984) 373–395.
N. Megiddo, “Linear-time algorithms for linear programming in ℝ3 and related problems,”SIAM Journal on Computing 12 (1983) 759–776.
J.E. Mitchell and M.J. Todd, “On the relationship between the search directions in the affine and projective variants of Karmarkar's linear programming algorithm,” in: B. Cornet and H. Tulkens, eds.,Contributions to Operations Research and Economics (MIT Press, Cambridge, MA, 1989) pp. 237–250.
A. Steger, “An extension of Karmarkar's algorithm for bounded linear programming problems,” M.S. Thesis, SUNY at Stonybrook (New York, 1985).
M.J. Todd, “The effects of degeneracy and null and unbounded variables on variants of Karmarkar's linear programming algorithm,” in: T.F. Coleman and Y. Li, eds.,Large-Scale Numerical Optimization (SIAM, Philadelphia, PA, 1990) pp. 81–91.
Y. Ye and M. Kojima, “Recovering optimal dual solutions in Karmarkar's polynomial algorithm for linear programming,”Mathematical Programming 39 (1987) 305–3157.
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Research supported in part by NSF Grant ECS-8602534 and ONR Contract N00014-87-K-0212.
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Todd, M.J. On Anstreicher's combined phase I—phase II projective algorithm for linear programming. Mathematical Programming 55, 1–15 (1992). https://doi.org/10.1007/BF01581187
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DOI: https://doi.org/10.1007/BF01581187