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:<math>y_1 \alpha_1 + y_2 \alpha_2 = k,</math>
and this reduced problem can be solved analytically: one needs to find a minimum of a one-dimensional quadratic function. <math>k</math> is the negative of the sum over the rest of terms in the equality constraint, which is fixed in each iteration.
The algorithm proceeds as follows:
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