<a name="Intro"></a>
<h1>Introduction</h1>

This example solves a 2D Poisson equation:

\[
    \Omega = (0,1)^2 \\
    \Omega_b = [0,1]^2 \text{  (with boundary)} \\
    \partial\Omega = \Omega_b \backslash \Omega \\
    u : \Omega_b -> R \\
    u'' = f \in \Omega \\
    u = u_D \in \partial\Omega \\
\]

using a finite difference method on an equidistant grid with `K` discretization
points (`K` can be controlled with a command line parameter). The discretization
may be done by any order Taylor polynomial.
For an equidistant grid with K "inner" discretization points \((x1,y1), \ldots,
(xk,y1),(x1,y2), \ldots, (xk,yk,z1)\) step size \(h = 1 / (K + 1)\) and a stencil
\(\in \mathbb{R}^{3 \times 3}\), the formula produces a system of linear equations

\(\sum_{a,b=-1}^1 stencil(a,b) * u_{(i+a,j+b} = -f_k h^2\), on any inner node
with a neighborhood of inner nodes

On any node, where neighbor is on the border, the neighbor is replaced with a
\(-stencil(a,b) * u_{i+a,j+b}\) and added to the right hand side vector. For
example a node with a neighborhood of only edge nodes may look like this

\[
\sum_{a,b=-1}^(1,0) stencil(a,b) * u_{(i+a,j+b} = -f_k h^2 - \sum_{a=-1}^1
stencil(a,1) * u_{(i+a,j+1}
\]

which is then solved using Ginkgo's implementation of the CG method
preconditioned with block-Jacobi. It is also possible to specify on which
executor Ginkgo will solve the system via the command line.
The function `f` is set to \(f(x,y) = 6x + 6y\) (making the solution \(u(x,y) = x^3
+ y^3\)), but that can be changed in the `main` function. Also the stencil values
for the core, the faces, the edge and the corners can be changed when passing
additional parameters.

The intention of this is to show how generation of stencil values and the right
hand side vector changes when increasing the dimension.

<h3> About the example </h3>
