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Exact(60)
can be solved via subgradient method.
Problem (2) can be solved via the standard AL method.
Then (15) can be solved via efficiently selecting the optimum, such that.
In this case, it can be solved via an offline method.
The system in (7) can be solved via its Schur complement.
Such optimization problems can be solved via the well-known CVX toolbox for Matlab software [12].
This combined optimization model can be solved via commercial optimization tools to achieve optimal results.
As it turns out, this problem can be solved via employing the stochastic optimization theory [24].
This system can be solved via the Gaussian elimination procedure or any other suitable procedure.
FLP can be solved via mathematical modelling, heuristic or metaheuristic approaches.
Thus, the k-class classification problem can be solved via a series of TSSVMs.
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