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We present a mixed integer programming model, and develop a heuristic algorithm based on Lagrangian relaxation.
We introduce a new mathematical layout model and develop several improvement procedures.
We describe the optimality conditions for the model and develop a supergradient algorithm to solve it.
Chang and the Institute have been charged with applying creative design methodologies to help model and develop a new value-based health care system for the Austin area.
We propose a trans-dimensional RF model and develop a training algorithm using joint stochastic approximation and trans-dimensional mixture sampling.
Partial least squares (PLS) is used to estimate the parameters of the structural model and develop a multi-group analysis.
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Another classification system, termed the 4C model and developed by Betsch, Böhm and Chapman24, classifies individuals based on the main reason for non-vaccination.
Taleizadeh (2014) has described multiple prepayment schemes in their model and developed a deteriorating-inventory model.
Finally, the assessment of the introduced model and developed simulation algorithm is provided based on simulation experiments.
They conducted extensive research that validated Bánáthy's leadership model and developed its own version for nationwide use.
JDK conceived the study, constructed the model, and developed the model inputs.
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