This is a non-linear problem, even though the governing equation is linear.
2.
Since this equation is primarily used to solve linear problems, the contributions can be added.
3.
I believe this is a non linear problem but do not know the reason for this.
4.
These three core properties are sufficient to prove the convergence of the GDM for linear problems.
5.
The stability of the selected discretisation is generally established numerically rather than analytically as with simple linear problems.
6.
Jain has done important work on the development of algorithms for solving non-linear problems involving irregular boundaries.
7.
In linear problems, for example, a family of linearly independent solutions can be used to construct general solutions through the superposition principle.
8.
The minimization of a geometric error is often a non-linear problem, that admit only iterative solutions and requires a starting point.
9.
Alternatively, some attempts were made to formulate the MINLP problems to mixed integer linear problems, where then possible networks are screened and optimized.
10.
Actually, there is no justification in minimizing an algebraic error apart from the ease of implementation, as it results in a linear problem.
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