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At first, we convert it to a stochastic differential equation and solve with the stochastic θ-method.
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This can be viewed as an optimization problem and solved with the appropriate optimization algorithms.
The population balance equation is discretized and solved with the method of classes.
The optimization problem was formulated and solved with the help of the Pareto concept of optimality and preference functions.
The sensor partitioning problem aforementioned can be transformed to a shortest path problem and solved with the time complexity of.
Finally, the ILP models are implemented within a standard modeling language and solved with the CPLEX solver.
The equations of motion are derived from the Hamilton's law and solved with the Navier's procedure.
Similar discretization techniques are used for both sets of equations and solved with the same numerical method.
The model is formulated as profit maximization problem with respect to the retailer and solved with the help of genetic algorithm (GA) and PSO.
Then, all sizing has been checked by means of finite element models implemented and solved with the same boundary conditions used in the analytical procedure.
The WEN superstructure is optimized in a mixed-integer nonlinear programming (MINLP) formulation and solved with the GAMS software, with the goal of minimizing the total annualized cost.
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