Guidelines for Using the Iterative Solver
  1. The iterative solver works most efficiently when it is enabled for designs that do not contain many excitations. (For example, the number of excitations is less than twice the number of processors.)
  2. If you choose to take advantage of the iterative solver, and your analysis includes interpolating sweeps or discrete sweeps, the adaptive solution should be well converged at the higher end of the frequency band.
  3. The Relative Residual provides a stopping criteria. The residual measures the convergence of the iterative solver to the solution of the matrix equation. Its value affects the performance of the iterative solver as follows: