1. I. Adler and R. Shamir, A randomized scheme for speeding up algorithms for linear and convex programming with high constraints-to-variable ratio, Math. Programming 61, 39–52, 1993.
2. J. Balcázar, Y. Dai, and O. Watanabe, in preparation.
3. K.P. Bennett and E.J. Bredensteiner, Duality and geometry in SVM classifiers, in Proc. the 17th Int’l Conf. on Machine Learning (ICML’2000), 57–64, 2000.
4. D.P. Bertsekas, Nonlinear Programming, Athena Scientific, 1995.
5. P.S. Bradley, O.L. Mangasarian, and D.R. Musicant, Optimization methods in massive datasets, in Handbook of Massive Datasets (J. Abello, P.M. Pardalos, and M.G.C. Resende, eds.) Kluwer Academic Pub., 2000, to appear.