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In section "Solution strategy: sample average approximation" sample average approximation is presented to approximate the problem with sample size N. Metaheuristic method is introduced in section"The proposed Metaheuristic method"; Numerical results of the optimization method are presented in section"Computational experiments".

However, the multitarget Bayes filter has no practical utility without an approximation strategy.

The proof is based on a regularization and approximation strategy designed for our time-dependent framework.

Partial expansions of continued fraction expansions of rational numbers underlies the basic strategy of our approximation paradigm.

It is a quite remarkable that the algorithm exhibits such excellent convergence properties which illustrates that the proposed successive approximation strategy works quite well.

However, other choices have been suggested in the literature, for example, a Gaussian approximation strategy [24], which may be applied as well to the particle filter employed here.

We also developed a procedure to map the remaining bnodes, after termination of the iterations for the adopted top-down approximation strategy.

At heart it employs the strategy for nonlinear approximation of DeVore Ron, but it selects kernels by a method that is not straightforward.

In addition, we propose a solution approach based on an outer approximation strategy and show the algorithmic advantage of such framework for this class of programs.

For the interleaving attack strategy, the Bayesian approximation of the empirical mutual information decoder of (11) satisfies begin{array}{*{20}l} m x,y,p) = left{begin{array}{cc} lnleft(1 + frac{p}{n(1 - p)}right) & text{if}~ x = y = 0; !!!!!!!!!!!!!lnleft(1 - frac{1}{n}right) & !!!!!!!!!!!!text{if}~ x neq y; !!!!!!lnleft(1 + frac{1 - p}{np}right) & text{if}~ x = y = 1.

It is based on a global approximation strategy, where the structure response is given by a system of neural networks trained by means of finite element analyses, and on genetic algorithms, that results particularly profitable due to the presence of integer variables.

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