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An iterative procedure is developed to solve the proposed model.
Then the BMO algorithm with a disturbance procedure is developed to solve the objective function.
In addition, a simple design procedure is developed to solve the problem that arises from more unknown parameters in the spatial CR3BP.
The beam is modelled as a distributed parameter system and a procedure is developed to solve the corresponding disturbance attenuation problem for such a distributed parameter system.
A numerical shooting method, together with Broyden's iteration procedure, is developed to solve the resulting fourth-order ordinary differential equation with two-point boundary conditions for the gradient-dependent problem.
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A 3D numerical procedure is developed to solve free surface and/or freshwater saltwater interface groundwater flow problems under steady state conditions, using the Galerkin finite element technique and the Picard linearization method to solve nonlinear systems.
Meanwhile, a unified simulation-based genetic algorithm (SGA) solution procedure is developed to solve all three stochastic GP models.
Solution procedure based on genetic algorithm and Monte-Carlo simulation is developed to solve the stochastic model.
A computational procedure based on the finite-difference method has been developed to solve the model.
Various numerical techniques have been developed to solve the equation.
Several algorithms have been developed to solve the BSS problem.
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