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Then, a solution based on the Lagrangian relaxation and subgradient methods is used to solve the proposed optimization problem.
The information derived from these computational experiments, processed through traditional, continuum numerical methods is used to solve the macroscopic equations without ever deriving them in closed form.
A combination of Discontinuous Galerkin (DG) and Multi-Point Flux Approximation (MPFA) methods is used to solve the advection diffusion heat transfer equation in the flow channel and in the fluid phase within the porous material.
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Matrix analytic method is used to solve the systems.
The projected gradient method is used to solve the DOP.
The Galerkin method is used to solve the equations.
Newton's method is used to solve the equations.
Sample average approximation method was used to solve the model.
The goal programming method was used to solve the problem.
The incremental feature selection (IFS) method was used to solve the problem.
The homotopy decomposition method was used to solve the resulted system of equations.
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