- Creates the library `libkordersim` with all the relevant Fortran routines to `folded_to_unfolded_dr` and `local_state_space_iteration_fortran`
- Implements `folded_to_unfolded_dr`, which converts folded decision rule matrices to their unfolded counterparts
Partially addresses issue #1680:
- unconditional welfare resorts to dynare++ simulation tools, which shall be updated very soon
TO DO:
- implement a function computing kth-order approximation of simulated moments of y
This MEX solves nonlinear systems of equations using a trust region algorithm.
The problem is subdivided in smaller problems by doing a block
triangularisation of the Jacobian at the guess value, using the
Dulmage-Mendelsohn algorithm.
The interface of the MEX is simply:
[x, info] = block_trust_region(f, guess_value);
Where f is either a function handle or a string designating a function.
f must take one argument (the evaluation point), and return either one or two
arguments (the residuals and, optionally, the Jacobian).
On success, info=0; on failure, info=1.
It constructs the stacked residuals and jacobian of the perfect foresight
problem.
It is an almost perfect replacement for the perfect_foresight_problem.m
routine, while being much more efficient.
Note however that the DLL never return complex numbers (it instead puts NaNs at
the place where there would have been complex). This may create problems for
some MOD files; the algorithms will need to be adapted to use a more
line-search method.
- removed build_matlab_multithread.m and isopenmp MEX file
- introduced a new option "--enable-openmp" in configure script
- when openmp support is compiled in, the default is still one thread; the user can set the number of threads with "set_dynare_threads(n)"
- closes#68
Sébastien Villemot
NormannR
Stéphane Adjemian (Odysseus)
Houtan Bastani
Sébastien Villemot
Stéphane Adjemian (Charybdis)