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This test problem is modified from DTLZ2 to increase the difficulty of convergence.
A simplified spudcan, with its side friction ignored because of its relative smaller area, is adopted to reduce the difficulty of convergence in calculation.
Traditional forward scattering CDI has some limitations, including the restriction of samples being finite-size and the difficulty of convergence of the phasing algorithm.
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Threshold effect was not estimated due to difficulties of convergence of HSROC model, thus it was not considered appropriate.
(In particular, this solves the difficulty of slow convergence with WOS by allowing FP domains that contain patches of the phase interface).
Most analyses will take the form of generalized linear mixed models [ 73], with logistic regression models estimated via generalized estimating equations [ 74] used as a robust backup in case mixed-model assumptions are violated or computational difficulties (lack of convergence) are encountered.
Two problems that cause difficulty for convergence to the stationary distribution are as follows: correlation of the parameters with their initial estimates and autocorrelation, which is a systematic sequential within chain correlation.
Discontinuities in the first-order derivative of the flux function (referred to as kinks) and inflection lines are identified as the cause of convergence difficulty.
Using hierarchical models taking into account left-censoring should improve the validity of estimation and may help in case of convergence difficulty when using individual data [ 9].
Automation of the optimal search strategy combined with the reliability to overcome inherent difficulties of non-convergence when using physics models in optimization promotes its usefulness.
The reformulated expectation constraints are also different from general expectation constraints as discussed in stochastic programming areas, which pose great difficulties for the exact proof of convergence of the algorithms.
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