Interior-point methods for nonlinear complementarity problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization
Link
http://link.springer.com/content/pdf/10.1007/BF02192201.pdf
Reference21 articles.
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2. Jarre, F.,The Method of Analytic Centers for Smooth Convex Programs, PhD Thesis, Institut für Angewandte Mathematik und Statistik, Universität Würzburg, Würzburg, Germany, 1989.
3. Monteiro, R. D. C., andAdler, I.,An Extension of Karmarkar-Type Algorithms to a Class of Convex Separable Programming Problems with Global Linear Rate of Convergence, Mathematics of Operations Research, Vol. 15, pp. 408–422, 1990.
4. Nesterov, Y. E., andNemirovsky, A. S.,Interior-Point Polynomial Methods in Convex Programming: Theory and Algorithms, SIAM Publications, Philadelphia, Pennsylvania, 1994.
5. Zhang, Y., andTapia, R. A.,A Superlinearly Convergent Polynomial Primal-Dual Interior-Point Algorithm for Linear Programming, SIAM Journal on Optimization, Vol. 3, pp. 118–133, 1993.
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