Browse > Article
http://dx.doi.org/10.7858/eamj.2010.26.1.009

A LARGE-UPDATE INTERIOR POINT ALGORITHM FOR $P_*(\kappa)$ LCP BASED ON A NEW KERNEL FUNCTION  

Cho, You-Young (DEPARTMENT OF MATHEMATICS PUSAN NATIONAL UNIVERSITY)
Cho, Gyeong-Mi (DEPARTMENT OF MULTIMEDIA ENGINEERING DONGSEO UNIVERSITY)
Publication Information
Abstract
In this paper we generalize large-update primal-dual interior point methods for linear optimization problems in [2] to the $P_*(\kappa)$ linear complementarity problems based on a new kernel function which includes the kernel function in [2] as a special case. The kernel function is neither self-regular nor eligible. Furthermore, we improve the complexity result in [2] from $O(\sqrt[]{n}(\log\;n)^2\;\log\;\frac{n{\mu}o}{\epsilon})$ to $O\sqrt[]{n}(\log\;n)\log(\log\;n)\log\;\frac{m{\mu}o}{\epsilon}$.
Keywords
primal-dual interior point method; kernel function; complexity; polynomial algorithm; linear optimization problem;
Citations & Related Records
연도 인용수 순위
  • Reference
1 M. El Ghami, I. Ivanov, J.B.M. Melissen, C. Roos and T. Steihaug, A polynomial-time algorithm for linear optimization based on a new class of kernel functions, Journal of Computational and Applied Mathematics 224 (2009), 500-513.   DOI   ScienceOn
2 J. Peng, C. Roos and T. Terlaky, Self-regular functions and new search directions for linear and semidefinite optimization, Mathematical Programming 93 (2002), 129-171.   DOI   ScienceOn
3 M. Kojima, N. Megiddo, T. Noma and A. Yoshise, A unified approach to interior point algorithms for linear complementarity problems, Vol.538, Lecture Notes in Computer Science, Springer-Verlag, Berlin, Germany, 1991.
4 G. M. Cho and M. K. Kim, A new large-update interior point algorithm for P_{\ast}(k) LCPs based on kernel functions, Applied Mathematics and Computation 182 (2006),1169-1183.   DOI   ScienceOn
5 Y. Q. Bai, M. El Ghami and C. Roos, A new efficient large-update primal-dual interior-point method based on a finite barrier, Siam J. on Optimization, 13 (2003), 766-782.
6 Y. Q. Bai, M. El Ghami and C. Roos, A comparative study of kernel functions for primal-dual interior-point algo-rithms in linear optimization, Siam J. on Optimization 15 (2004), 101-128.   DOI   ScienceOn
7 G. M. Cho, A new large-update interior point algorithm for P_{\ast}(k) linear complementar-ity problems, Journal of Computational and Applied Mathematics 216 (2008), 256-278.
8 R. W. Cottle, J. S. Pang and R. E. Stone, The linear complementarity problem, Academic Press, San Diego, CA, 1992.
9 T. Illes and M. Nagy, A Mizuno-Todd-Ye type preditor-corrector algorithm for sufficient linear complementarity problems, European Journal of Operational Research 181 (2007), 1097-1111.   DOI   ScienceOn
10 J. Peng, C. Roos and T. Terlaky, Primal-dual interior-point methods for second-order conic optimization based on self-regular proximities, SIAM J. Optim., 13 (2002), 179-203.   DOI   ScienceOn
11 J. Peng, C. Roos and T. Terlaky, Self-Regularity, A new paradigm for primal-dual interior-point algorithms,Princeton University Press, 2002.
12 Y. E. Nesterov and A. S. Nemirovskii, Interior point polynomial algorithms in convex programming, SIAM Studies in Applied Mathematics 13, Philadelphia PA, 1994.
13 C. Roos, T. Terlaky and J. Ph. Vial, Theory and algorithms for linear optimization, An interior approach, John Wiley & Sons, Chichester, U.K., 1997.
14 S. J. Wright, Primal-dual interior-point methods, SIAM, 1997.
15 S. G. Nash and A. Sofer, Linear and nonlinear programming, McGraw-Hill, New York,1996.