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Numerical computation was carried out to obtain a discrete solution of the minimum rolling thickness.
Thus, the resulting reparameterization functions, interpolating the discrete solution must be diffeomorphism.
Third, the discrete solution is adapted back to the continuous world.
Our proposed method comprises two main operations: discrete solution generation and feasible solution production.
Stability of the method and error estimates of the discrete solution are analyzed.
After proving coercivity and strong convergence of the method, we derive an a posteriori estimate which controls convergence of the discrete subdomain solutions to the global discrete solution provided that jumps of the discrete solution converge at the interface.
In the example of the discrete solution of a Laplace's differential equation, such an interaction is examined.
However, TLBO is not capable or effective in DSP optimization problems with discrete solution spaces and complex disassembly precedence constraints.
As is typical for space time DG schemes, the discrete solution is represented in terms of space time basis functions.
Moreover, the positivity of the discrete solution is proved and the well-posedness is analyzed rigorously for linear problems.
Then, the prior bound of the discrete solution in L2-norm and L∞-norm are also obtained.
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