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The kinetic equations can be established with this simulation and solved with a computer program.
The equations of motion of the coupled WVB system are derived and solved with a nonlinear iterative procedure.
The principle problem, which is the product design stage is divided into four sub-problems and solved with a decomposition-based approach.
Within a first generic approach, the inverse kinematics problem was reformulated as a non-linear programming problem and solved with a Genetic Algorithm (GA).
Besides, a coupled heat and mass transfer model is applied and solved with a finite difference method in order to determine the heat and mass transfer coefficients.
By using the dual algorithm, the NUM problem has been optimal decomposed and solved with a novel distributed cross-layer design algorithm from physical to transport layers.
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The constrained problem is transferred into a sequence of unconstrained problems and solved with an interactive descent method.
Models were implemented in Matlab and solved with ode15s, which is a built-in ODE solver in Matlab capable of handling stiff systems.
This way different subproblems are generated and solved with smaller feasibility regions, untill a binary solucion is obtaind which can proved to be better than any other integer solution.
desirability function, and feasibility indices in the constraints, the mathematical model of structural robust design problem is formulated and is solved with a gradient-based algorithm.
Firstly, the Kriging interpolation needs a calibration of its parameters and is solved with a maximum likelihood function.
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