[1] F. Bastos and A. Teixeira, An extension of variant of a
predictor-corrector primal-dual method from linear programming to
semidefinite programming, Investação Operacional 25 (2005),
253-276.
[2] Henri Berthiaux, Vadim Mizonov and Vladimir Zhukov, Application of
the theory of Markov chains to model different processes in particle
technology, Powder Technology 157 (2005), 128-137.
[3] Coralia Cartis, Some disadvantages of a Mehrotra-type primal-dual
corrector interior point algorithm for linear programming, Applied
Numerical Mathematics 59(5) (2009), 1110-1119.
[4] X. F. Cha, Application of Markov chain to market forecasting,
Journal of Jiangsu University (Social Science Edition) 5(1) (2003),
110-113.
[5] Bo Kyung Choi and Gue Myung Lee, On complexity analysis of the
primal-dual interior-point method for semidefinite optimization
problem based on a new proximity function, Nonlinear Analysis: Theory,
Methods & Applications 71(12) (2009), 2628-2640.
[6] Richard G. Clegg, A discrete-time Markov-modulated queuing system
with batched arrivals, Performance Evaluation 67 (2010), 376-385.
[7] R. L. Feng, D. F. Ou and Z. H. Peng, Analysis of market share: A
practical research of Markov theory, Journal of University of Electric
Power (Natural Science) 20(4) (2005), 85-88.
[8] Tibor Ills and Marianna Nagy, A Mizuno-Todd-Ye type
predictor-corrector algorithm for sufficient linear complementarity
problems, European Journal of Operational Research 181(3) (2007),
1097-1111.
[9] N. M. S. Karmitsa, M. M. Mkel and M. M. Ali, Limited memory
interior point bundle method for large inequality constrained
nonsmooth minimization, Applied Mathematics and Computation 198(1)
(2008), 382-400.
[10] L. X. Liu, S. Y. Liu and H. W. Liu, A predictor-corrector
smoothing Newton method for symmetric cone complementarity problems,
Applied Mathematics and Computation 217(7) (2010), 2989-2999.
[11] J. Peng, T. Terlaky and Y. B. Zhao, A predictor-corrector
algorithm for linear optimization based on a specific self-regular
proximity function, SIAM Journal on Optimization 15(4) (2005),
1105-1127.
[12] J. J. F. A. Potra and S. Huang, A predictor-corrector method for
linear complementarity problems with polynomial complexity and
superlinear convergence, Journal of Optimization Theory and
Applications 84(1) (1995), 187-199.
[13] Florian A. Potra, The Mizuno-Todd-Ye algorithm in a large
neighbourhood of the central path, European Journal of Operation
Research 143 (2002), 257-267.
[14] Florian A. Potra, A superlinearly convergent predictor-corrector
method for degenerate LCP in a wide neighbourhood of the central path
with -iteration complexity, Mathematical
Programming 100(2) (2004), 317-337.
[15] V. Rico-Ramrez and A. W. Westerberg, Interior point methods for
the solution of conditional models, Computers & Chemical Engineering
26(3) (2002), 375-383.
[16] Maziar Salahi and Nezam Mahdavi-Amiri, Polynomial time second
order Mehrotra-type predictor-corrector algorithms, Applied
Mathematics and Computation 183(1) (2006), 646-658.
[17] M. Salahi, J. Peng and T. Terlaky, On Mehrotra-type
predictor-corrector algorithms, SIAM Journal on Optimization 18(4)
(2007), 1377-1397.
[18] Maziar Salahi, A finite termination Mehrotra-type
predictor-corrector algorithm, Applied Mathematics and Computation
190(2) (2007), 1740-1746.