Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics,Control and Optimization
Reference36 articles.
1. Adler, I., Alizadeh, F.: Primal–dual interior point algorithms for convex quadratically constrained and semidefinite optimization problems. Technical report RRR 46-95, RUTCOR, Rutgers University (1995)
2. Alizadeh, F.: Interior point methods in semidefinite programming with applications to combinatorial optimization. SIAM J. Optim. 5(1), 13–51 (1995)
3. Alizadeh, F., Goldfarb, D.: Second-order cone programming. Math. Program. Ser. B 95(1), 3–51 (2003)
4. Alizadeh, F., Schmieta, S.H.: Optimization with semidefinite, quadratic and linear constraints. Technical report RRR 23-97, RUTCOR, Rutgers University (1997)
5. Bach, F.R., Lanckriet, G.R.G., Jordan, M.I.: Multiple kernel learning, conic duality, and the SMO algorithm. In: ICML ’04: Proceedings of the Twenty-first International Conference on Machine Learning, p. 6. ACM, New York (2004)
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