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We demonstrate the approach by solving the two-dimensional compressible Navier Stokes equations on quadrilateral grids.
The bubble movements were captured via a Lagrangian approach by solving the Newton's equations of motion.
We illustrate the formulations and the resulting numerical approach by solving the compressible Navier Stokes equations.
Furthermore we evaluate the approach by solving a two-phase flow benchmark problem.
We illustrate the power of the approach by solving a simple real business cycle model with value function iteration.
To extract the two components simultaneously, an approach by solving an optimization problem is proposed in this paper.
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Under these conditions, the blind spectral unmixing task can be approached by solving a BSS problem with the additional constraint[19]: ∑ i = 1 n S i = 0, (3).
And then the controller design approach is given by solving a set of LMIs.
The applicability of the proposed approach is demonstrated by solving 2D inverse continuum problems.
The prediction-based optimization approach is demonstrated by solving a facility optimization problem in groundwater engineering.
We approach surface design by solving a linear third order Partial Differential Equation (PDE).
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