* normalizes the static model
* computes its block decomposition, using topological order
* for each block, computes minimum feedback set of variables
* at this stage, only produces text output (no change in the computation of steady state)
git-svn-id: https://www.dynare.org/svn/dynare/trunk@2798 ac1d8469-bf42-47a9-8791-bf33cf982152
* for 2nd and 3rd derivatives of static and dynamic model, create the sparse matrices in a more efficient way (thanks to Pablo Winant for suggesting this and providing a patch)
* this breaks USE_DLL option at order 2
* fixed bug when hessian or 3rd deriv. matrix was all zero: the matrix was not constructed at all, leading to crashes in Matlab code
git-svn-id: https://www.dynare.org/svn/dynare/trunk@2787 ac1d8469-bf42-47a9-8791-bf33cf982152
* finished normalization algorithm
* added routine for computing the equations which are already in normalized form
git-svn-id: https://www.dynare.org/svn/dynare/trunk@2645 ac1d8469-bf42-47a9-8791-bf33cf982152
* added support for derivatives of Hessian w.r. to parameters
* added "identification" command which does nothing for the moment, except triggering those derivatives w.r. to params
git-svn-id: https://www.dynare.org/svn/dynare/trunk@2613 ac1d8469-bf42-47a9-8791-bf33cf982152
* fixed bug with planner_objective
* fixed another bug due to unitialized max_{lead,lags} values
git-svn-id: https://www.dynare.org/svn/dynare/trunk@2604 ac1d8469-bf42-47a9-8791-bf33cf982152
* created a distinct expression tree for the static model (thus giving better sharing of sub-expressions and better computation of temporary terms for the static model)
* for that purpose, created StaticModel and DynamicModel classes (ModelTree still persists, but only contains code shared between StaticModel and DynamicModel)
* removed sparse static file (to be later replaced by new algorithm for steady state computation on large models)
git-svn-id: https://www.dynare.org/svn/dynare/trunk@2592 ac1d8469-bf42-47a9-8791-bf33cf982152
sebastien