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Numerical Coarsening Control Parameters
These parameters control how some output will be printed in various files.
 Nzone(int): The number of mesh and/or Jacobian coarsening zones in the problem. Set to 1 for a uniform treatment of integration
stencils in the domain. Additional zones are needed to coarsen the Jacobian and/or mesh away from the surfaces. In addition two zones are
needed if a 1D region is to be applied (see description of L1D_bc in section on diffusion parameters),
if a bulk zone is to be specified (see below), or if a PoissonBoltzmann limit is to be applied at some cutoff (see below).
For mesh and Jacobian coarsing (see more information below), the coarsening will be based on powers of two changes in the mesh starting
with the most refined zone (near the surfaces) set by Esize_x. For example if Esize_x=0.025 and Nzone=4, then integration stencils will be generated for mesh spacings of 0.025, 0.05, 0.1, and 0.2.
 Rmax_zone[Nzone1](real vector): The distance from the surfaces associated with each zone.
 Mesh_coarsening(int): This parameter selects the type of residual coarsening that will be done on the mes.
The options are:
 Coarser_jac(int): This flag sets the type of Jacobian
coarsening that will be performed for a given calculation. The
options are:
 0: Jacobian coarsening matches residual coarsening. This results in an exact Jacobian for a coarsened system of residual equations. Note
that if Nzone=1 and Mesh_coarsening=0, both residual and jacobian coarsening are turned off.
 1: Use integration stencils that are coarsened by a factor of two when computing Jacobian integrals in the zone nearest
the surfaces (labeled zone 0). For example if Esize_x=0.025 and Nzone=4 as above, the jacobian coefficients in the four zones
will be generated using integration stencils as follows: (zone 0: 0.05), (zone 1: 0.05), (zone 2: 0.1), and (zone 3: 0.2) resulting in an approximate Jacobian.
 2: Use integration stencils that are coarsened by a factor of two when computing Jacobian integrals for all zones except the
most coarse zone. For example if Esize_x=0.025 and Nzone=4 as above, the jacobian coefficients in the four zones will
be generated using integration stencils as follows: (zone 0: 0.05), (zone 1: 0.1), (zone 2: 0.2), and (zone 3: 0.2) resulting in an approximate Jacobian.
 3: Use integration stencils for the most coarse available stencil for all zones in the calculation.
For example if Esize_x=0.025 and Nzone=4 as above, then integration stencils will be:
(zone 0: 0.2), (zone 1: 0.2), (zone 2: 0.2), and (zone 3: 0.2) resulting in an approximate Jacobian.
 4: Use the integration stencils for the second most coarse available stencil for all zones except the most coarse zone.
For example if Esize_x=0.025 and Nzone=4 as above, then integration stencils will be:
(zone 0: 0.1), (zone 1: 0.1), (zone 2: 0.1), and (zone 3: 0.2) resulting in an approximate Jacobian.
 5: Use a constant mesh spacing defined by Esize_jacobian to define the integration stencils used for the Jacobian everywhere on the mesh.
This again results in an approximate Jacobian.
 Esize_jacobian(real): The mesh spacing to be used for Jacobian integration stencils. For use with Coarser_jac=5.
 Ljac_cut(int): A logical (0=FALSE; 1=TRUE) that indicates whether the
Jacobian integrals will be cut off at some threshold value
(see Jac_threshhold parameter below). This may be useful for attractive systems
with rather long cutoffs, but again results in an approximate Jacobian.
 Jac_threshhold(real): The threshold value for whether
or not to include a given point in the integration stencil. A
value of 100 indicates that all points smaller the maximum value
in the stencil divided by 100 will be rejected from the stencil.
 L1D_bc(int): A logical (0=TRUE; 1=FALSE) that indicates if a 1D boundary conditions should be applied at some distance from th
e
ends of the boundary in the Grad_dim directions. This can be helpful in speeding up
a 3D calculation where there is some region that becomes exactly or approximately 1D outside of a central 3D systems. This might
occur in diffusion through a porous media of finite width.
 X_1D_bc(real): The distance over which the 1D approximation should
be applied. Only applies when L1D_bc=TRUE.
