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To couple the two models, the solution algorithm switches from the flexible block model to Dan3D at a user-specified time.
In the special framework of partial PC models, the solution is obtained as a linear combination of the eigenvectors spanning the residual space of the partial model.
One should note that although the equilibrium points are the same for both integer order and fractional order models, the solution of the fractional order model tends to the fixed point over a longer period of time.
While sharing some common features with the one-dimensional models, the solution of two-dimensional equations are substantially more difficult, thus some considerations are taken to be able to extend some ideas of one-dimensional case.
A numerical example is presented to demonstrate that the proposed solution structure accurately models the solution across material interface, and convergence analysis is performed to show that the method converges as the grid density is increased.
As with other similar models, the solution time for an instance with the same number of surgeries varies considerably depending on the data.
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We modeled the solution for mapping SI into SU as an integer program and solved it using algorithms to find the best SAF model (with minimum cost).
After obtaining the optimal solution for this model, the solution had to be discussed and properly adapted.
The GLO design task is formulated as mapping the problem domain model on the solution domain model.
We present extensive numerical test results and analysis of the models and the solution approach.
Such models require the solution to the absolute orientation problem to identify duplicates.
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