d574705b4a
Use the new time-recursive block decomposition computed by the preprocessor for: - the simulation of backward models with “simul_backward” - the perfect foresight simulation of purely backward/forward/static models Also note that in this case, the preprocessor now defaults to “mfs=3” (i.e. it minimizes the set of feedback variables and tries to renormalize equations). This replaces the previous algorithm based on Dulmage-Mendelsohn (dmperm), plus an ad hoc identification of some equations that can be evaluated (those with a LHS equal to a variable, the log of a variable, or the diff-log of a variable). By the way, the block_trust_region MEX has been modified so that it accepts a boolean argument to decide whether it performs a Dulmage-Mendelsohn decomposition (if not, then it performs a simple trust region on the whole nonlinear system). This provides a significant performance improvement (of almost an order of magnitude for solve_algo=14 on a 700 equations model). |
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| .. | ||
| _static | ||
| _templates | ||
| bibliography.rst | ||
| conf.py | ||
| dynare-misc-commands.rst | ||
| examples.rst | ||
| index.rst | ||
| installation-and-configuration.rst | ||
| introduction.rst | ||
| reporting.rst | ||
| running-dynare.rst | ||
| the-configuration-file.rst | ||
| the-model-file.rst | ||
| time-series.rst | ||