Two computationally efficient polynomial-iteration infeasible interior-point algorithms for linear programming
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/article/10.1007/s11075-018-0469-3/fulltext.html
Reference35 articles.
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3. Lustig, I., Marsten, R., Shannon, D.: Computational experience with a primal-dual interior-point method for linear programming. Linear Algebra Appl. 152, 191–222 (1991)
4. Lustig, I., Marsten, R., Shannon, D.: On implementing Mehrotra’s predictor-corrector interior-point method for linear programming. SIAM J. Optim. 2, 432–449 (1992)
5. Monteiro, R., Adler, I., Resende, M.: A polynomial-time primal-dual affine scaling algorithm for linear and convex quadratic programming and its power series extension. Math. Oper. Res. 15, 191–214 (1990)
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