What about ‘bending’ the physics a bit?

Q_i-1/2 proportional to sqrt(x[i-1] + z[i-1] - (x[i] + z[i])),                  
if             x[i-1]+z[i-1]  >  x[i]+z[i] + eps
Q_i-1/2 proportional to -1.0*sqrt(x[i] + z[i] - (x[i-1] + z[i-1])),         if  
          x[i]+z[i]  >  x[i-1]+z[i-1] + eps
Q_i-1/2 proportional to x[i-1] + z[i-1] - (x[i] + z[i])                         
      in between

in which, eps is a very small positive number.

-Ling


From: petsc-users <[email protected]> on behalf of Alexander B 
Prescott <[email protected]>
Date: Monday, April 6, 2020 at 1:06 PM
To: PETSc <[email protected]>
Subject: [petsc-users] Discontinuities in the Jacobian matrix for nonlinear 
problem

Hello,

The non-linear boundary-value problem I am applying PETSc to is a relatively 
simple steady-state flow routing algorithm based on the continuity equation, 
such that Div(Q) = 0 everywhere (Q=discharge). I use a finite volume approach 
to calculate flow between nodes, with Q calculated as a piecewise smooth 
function of the local flow depth and the water-surface slope. In 1D, the 
residual is calculated as R(x_i)=Q_i-1/2 - Q_i+1/2.
For example, Q_i-1/2 at x[i]:
Q_i-1/2 proportional to sqrt(x[i-1] + z[i-1] - (x[i] + z[i])),              if  
x[i-1]+z[i-1]  >  x[i]+z[i]
Q_i-1/2 proportional to -1.0*sqrt(x[i] + z[i] - (x[i-1] + z[i-1])),      if     
    x[i]+z[i]  >  x[i-1]+z[i-1]

Where z[i] is local topography and doesn't change over the iterations, and 
Q_i+1/2 is computed analogously. So the residual derivatives with respect to 
x[i-1], x[i] and x[i+1] are not continuous when the water-surface slope = 0.

Are there intelligent ways to handle this problem? My 1D trial runs naively fix 
any zero-valued water-surface slopes to a small non-zero positive value (e.g. 
1e-12). Solver convergence has been mixed and highly dependent on the initial 
guess. So far, FAS with QN coarse solver has been the most robust.

Restricting x[i] to be non-negative is a separate issue, to which I have 
applied the SNES_VI solvers. They perform modestly but have been less robust.

Best,
Alexander



--
Alexander Prescott
[email protected]<mailto:[email protected]>
PhD Candidate, The University of Arizona
Department of Geosciences
1040 E. 4th Street
Tucson, AZ, 85721

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