Do not evaluate unnecessary temporary variables (for instance those
used in the evaluation of the jacobian matrix when we only compute the
residuals of the dynamic equations).
- replaces maximum_endo_(lead|lag) by maximum_(lead|lag) to determine the maximum number of lead and lag in deterministic simulation
- allows to use bytecode in solve_perfect_foresight_model.m
- Adds model information in bytecode
- preprocessor provides informations about the dynamic structure of each block
- extends the algorithms available with bytecode: stack_solve_algo = 1, 2, 3 and 4 is compatible the bytecode. Speed and memory requirement are improved with stack_solve_algo = 1 or 4 for large scale models.
- bytecode can be used to evaluate a model
- mfs: new option for 'steady' and 'model' commands. Determines the equation belonging to the set of feedback variables.
mfs = 0 => all variables are considered as feedback variables (default value)
mfs = 1 => using only naturally normalized equation as potential recursive equations (all variables assigned to unnormalized equations are considered as feedback variable)
mfs = 2 => adding to the set of potential recursive equation with mfs = 1 the linear equation in endogenous variable normalized (all variables assigned to nonlinear unnormalized equations are considered as feedback variable)
mfs = 3 => adding to the set of potential recursive equation with mfs = 2 the non linear equation in endogenous variable normalized
- correction of few buggs in simulate.dll
- block_mfs_dll: new option for 'steady' command. Use simulate.dll to solve the steady state model (speedup the computation of the steady-state and the homotopy)
git-svn-id: https://www.dynare.org/svn/dynare/trunk@2866 ac1d8469-bf42-47a9-8791-bf33cf982152
- normalize an equation linear in its endogenous variable
- Chained rule derivatives (necessary to reduce a block to the feedback equations and variables)
git-svn-id: https://www.dynare.org/svn/dynare/trunk@2726 ac1d8469-bf42-47a9-8791-bf33cf982152
- First draft of DynamicModel.cc files with feedback variables.
TODO :
- reduction of the Jacobian matrix
- symbolic normalization of equations
- application to the binary code evaluation (simulate.dll).
git-svn-id: https://www.dynare.org/svn/dynare/trunk@2678 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