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Samples in periodicals archive:
Since convex problems are much more tractable algorithmically and theoretically, lots of SVM algorithms involves solving convex problems, such as linear programming (Nash, Sofer 1996; Vanderbei 2001), convex quadratic programming (Nash, Sofer 1996), second order cone programming (Alizadeh, Goldfarb 2003; Boyd, Vandenberghe 2004; Goldfarb, Iyengar 2003), semi-definite programming (Klerk 2002) and etc.
2 Hladik's solution method for interval convex quadratic programming The objective function value of the fault diagnosis model (2.
Minimization of radius of the hyper sphere is just finding the solution of the following convex quadratic programming problem: min [R.