An infeasible interior-point algorithm with full-Newton step for linear optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s11075-007-9135-x.pdf
Reference13 articles.
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3. Mizuno, S.: Polynomiality of infeasible-interior-point algorithms for linear programming. Math. Program. 67(1), 109-119 (1994)
4. Peng, J., Roos, C., Terlaky, T.: New complexity analysis of the primal-dual Newton method for linear optimization. Ann. Oper. Res. 99(1), 23–39 (2000)
5. Peng, J., Roos, C., Terlaky, T.: A new class of polynomial primal-dual methods for linear and semidefinite optimization. Eur. J. Oper. Res. 143(2), 234–256 (2002)
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