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The fitness value of a chromosome is calculated by the linearization of objective function.
The detection limit was calculated by the linearization method [17].
The detection limit was estimated by the linearization method recommended by IUPAC.
Diagonal operators also appears by the linearization of a quasilinear differential equations.
The positioning algorithms that exploit the soft information obtained by the linearization and the likelihood method perform equally well.
The variance was estimated by the linearization method [ 29].
The information provided by the linearization at zero is again crucial.
At each iteration, the method solves two subproblems in which the functions are alternately represented by the linearizations of the cutting-planes model and the convex objective function.
We now study this problem by using the linearization system (2.14) and Theorem 4.5.
However, the result is not optimal because the linearization cha- nges the original objective function.
This is caused by the increase of the linearization errors in the traditional models.
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