- the options "sparse_dll" and "sparse" are no more available. They are replaced by combinations of block (for block decomposition) and bytecode (for model stored in a binary file)
- markowitz is now an option of simul and steady commands
git-svn-id: https://www.dynare.org/svn/dynare/trunk@2873 ac1d8469-bf42-47a9-8791-bf33cf982152
- 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
- lead and lag on exogenous variables
- corrections in dr1_sparse and dr11_sparse
- minor corrections in simulate
git-svn-id: https://www.dynare.org/svn/dynare/dynare_v4@2255 ac1d8469-bf42-47a9-8791-bf33cf982152
- Implementation of the simulation of the block decomposed model using sparse matrix using MATLAB code:
New option in model : sparse
Example:
Model(SPARSE);
….
End;
- Implementation of the simulation of the block decomposed model using sparse matrix for static model.
- Krylov methods are implemented to solve the linear model J.y=b, with J the Jacobian matrix at each step of the Newton Method. Two Krylov's solvers are considered :
+ Generalized Minimum Residual Method (GMRES)
+ BiConjugate Gradients Stabilized (BICGSTAB)
To call them the SIMULATE command has to be completed with a new option : METHOD which could have three different values :
+ LU : (default value) Sparse LU resolution
+ GMRES
+ BICGSTAB
Example:
simul(periods=100, method=lu);
or simul(method=Gmres);
- Correction of various bugs in “simulate.dll”.
- Correction of simk.m
- Correction allowing a list of VALUES or PERIODS not necessarily separated by a comma.
git-svn-id: https://www.dynare.org/svn/dynare/dynare_v4@1447 ac1d8469-bf42-47a9-8791-bf33cf982152
ferhat
adjemian
tommaso
sebastien