meshIO now has a framework to set the curvature of an input mesh. This is still an early and incomplete implimentation. This has also changed the call signature a bit for GetMesh as that now returns a reference to the mesh (which is fully owned by the meshIO object)
BREAKING CHANGE: all calls to meshIO::GetMesh now must expect a mfem::Mesh&
A custom integrator is required to handle the theta^n term in the lane emden equation, that is written as NonlinearPowerIntegrator which is a mfem::NonlinearFormIntegrator and defines methods to assemble its element vector (function value) and element gradient matrix (jacobian). This is then, along with built in mfem vectors for M Q and D, incorporated into the PolytropeOperator which defines methods for Mult (calculate the residuals of the variational form) and GetGradient (find the jacobian of the system)
tboudreaux:feature/mixedPolytrope implimented a fix to bring old style opat-core calls to the more up to date style. This change has been fast forwarded into main
the preconditioner must be built once before the solver begins to iterater, by putting the logic for this in a dedicated method it becomes cleaner to call
approxJacobiInvert now only preforms a reallocation if the result buffer is non null. If it is non null it will preform validation to confirm that the result buffer is the correct size to recive the inverted matrix
working on a "smart" schur compliment preconditioner for the block form of the lane emden equation. Currently this is stub and should not be considered usable
essential dofs can be applied to both theta and phi (grad theta) if we move to a block form. I have done this derivation and made that change so that we can properly apply the central boundary condition to the slope
The default gamma value has been upped to 1e4 which is enough to strongly constrain the solution to have zero slope at the core region. Further, the initial guess has been changed from a series expansion of theta to a simple quadratic that is one at origin and zero at the polytrope radius. This is faster to evaluate and seems to work just as well.
