5.4.2. NormDispIncrΒΆ

test('NormDispIncr', tol, iter, pFlag=0, nType=2)

Create a NormUnbalance test, which uses the norm of the left hand side solution vector of the matrix equation to determine if convergence has been reached.

tol (float) Tolerance criteria used to check for convergence.
iter (int) Max number of iterations to check
pFlag (int)

Print flag (optional):

  • 0 print nothing.
  • 1 print information on norms each time test() is invoked.
  • 2 print information on norms and number of iterations at end of successful test.
  • 4 at each step it will print the norms and also the \(\Delta U\) and \(R(U)\) vectors.
  • 5 if it fails to converge at end of numIter it will print an error message but return a successfull test.
nType (int) Type of norm, (0 = max-norm, 1 = 1-norm, 2 = 2-norm). (optional)

When using the Lagrange method to enforce the constraints, the Lagrange multipliers appear in the solution vector.