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Additionally, two examples regarding minimization a function of eigenvalues and force densities of tensegrity structures with continuous design variables are considered further.
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PSearch is a nonrandom method which can be exploited as a direct searching tool for minimization of a function which is not necessarily differentiable, stochastic, or even continuous.
Adaptive filters automatically adjust their weights according to some adaptive algorithm which is usually based on minimization of a function of the difference between the desired signal and the observed signal [1,2].
For each pixel observation i = 1... N, the degree of membership in the diseased and non-diseased clusters was estimated through minimization of a function that describes the cluster criteria and how proximate each pixel is to the criteria.
The first example is the constrained convex minimization problem of a function of one variable, which uses the algorithm in Theorem 4.4.
Finally, a minimization function is applied to obtain an estimate p ̂ of the number of endmembers in the subspace X ̂.
When compared with the linear, one-step DOT as presented here, non-linear DOT reconstruction has the added benefit of iteratively updating the recovered chromophore concentrations simultaneously with a minimization function until the solution finally converges to a predefined threshold.
A function minimization algorithm that updates solutions based on approximated derivative information is proposed.
According to the idea of regularization method, the IPTD for bilayer textile materials can be formulated into a function minimization problem.
When F ≡ 0 in Theorems 3.1 and 4.1, we also have better approximated algorithm about solving the minimization problem (1.3) of a function φ.
In order to detect the underlying interpopulation structure we applied a multidimensional scaling (MDS) approach which uses a function minimization algorithm to maximize the goodness-of-fit.
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