In some cases, for instance for the non linear filters, it helps to reduce this new gstep parameter
to get a positive definite hessian matrix. options_.gstep is now a 2*1 vector. The first element is
the old gstep parameter, the second element is the new gstep parameter. The step defined for the
computation of the hessian matrix is now:
h1=max(abs(x),sqrt(gstep(1))*ones(n,1))*eps^(1/6)*gstep(2);
- 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
Michel Juillard
Stéphane Adjemian (Charybdis)
Sébastien Villemot
sebastien
assia
ferhat
michel