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Precisely, the computational complexity is firstly exponential to the observation number N. Also, it highly depends on the maximum point search algorithm used for.
Similar in solving ( {mathcal{P}}_1 ), the computational complexity of solving ( {mathcal{P}}_2 ) depends exponentially on the observation number N, as well as the complexity burden required at each observation, i.e., the maximum point search algorithm used for parameters.
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For threshold value problems, the design point is obtained by searching for the maximum point of the original joint probability function, conditional upon the finite element solution being equal to the threshold value.
When both the resistance and load term of the limit state function are random, a modified joint probability density function is formulated, and the design point is obtained by searching for the maximum point of this function.
Mazumdar extended a cutoff point search based on the maximum chi-square method to a multivariable setting [ 44], and showed that the cutoff points obtained by a multivariable search were closer to the true cutoff points.
These methods iteratively reduce the search volume that contains the maximum point until the volume is small enough.
Assuming that the maximum number of iterations is fixed independently of the problem parameters, the computational complexity of the feasible point search is O N K M ) for the subcarrier reassignment and O N D+K)) for the power allocation.
Maximum point deduction for faults during flight is 5.0 points, during landing phase 5.0 points and out-run 7.0 points.
Initially, a point search is performed to add a point.
We have maximum points.
Argentina won their group with maximum points.
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