Symbolic Jacobian fails for functions

[Christian Schubert]

I tried the new Symbolic Jacobian feature on a msl32 model that previously failed with a nonlinear solver error.

Hoowever, if I run:

omc Modelica.Fluid.Examples.Tanks.TanksWithOverflow.mos +d=NLSanalyticJacobian

I get a long list of errors which in essence reads:

Error: Interner Fehler BackendDAEOptimize.derive failed: lowerTank.portDensities[1] = Modelica.Fluid.Vessels.OpenTank__OMC__36.Medium.density(Modelica.Fluid.Vessels.OpenTank__OMC__36.Medium.setState_phX(lowerTank.vessel_ps_static[1], if (-upperTank.ports[2].m_flow) > 0.0 then pipe.port_b.h_outflow else lowerTank.medium.h, {}, 0))

I presume it is because the module generating the symbolic jacobian tries to differentiate a function.

I suggest, taht there should be an appropriate error message for the time being.
In the long run however, it would be beneficial if it would be possible to mix symbolic and numerical jacobians, so that elements or columns may be derived numerically, if no analytical solution exists.

[Martin Sjölund]

Postponed until 1.9.1

[Martin Sjölund]

This ticket was not closed for 1.9.1, which has now been released. It was batch modified for milestone 1.9.2 (but maybe an empty milestone was more appropriate; feel free to change it).

[Martin Sjölund]

Milestone changed to 1.9.3 since 1.9.2 was released.

[Martin Sjölund]

Moved to new milestone 1.9.4

[Martin Sjölund]

Milestone pushed to 1.9.5

[Martin Sjölund]

Milestone renamed

[Martin Sjölund]

Ticket retargeted after milestone closed

[Martin Sjölund]

Milestone moved to 1.12.0 due to 1.11.0 already being released.

[Francesco Casella]

As of v1.13.0-dev-155-g68350e9, the model is compiled and simulates until the stop time.