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    • New option `static_mfs` to the `model` block (and the `model_options` command) authored by Sébastien Villemot's avatar Sébastien Villemot
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    NewFeatures.md
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    ...@@ -48,6 +48,8 @@ steady state or the dynamic residuals when the nonlinear solver is used. (#349) ...@@ -48,6 +48,8 @@ steady state or the dynamic residuals when the nonlinear solver is used. (#349)
    - When using block decomposition (with the `block` option of the `model` block), the option `mfs` now defaults to `1`. This setting should deliver better performance on most models, so it is a better default value. - When using block decomposition (with the `block` option of the `model` block), the option `mfs` now defaults to `1`. This setting should deliver better performance on most models, so it is a better default value.
    - New option `static_mfs` to the `model` block (and the `model_options` command). Controls the minimum feedback set computation for the static model. Defaults to `0` (corresponding to the behaviour in Dynare 5.x)
    - Perfect foresight homotopy: - Perfect foresight homotopy:
    - New `endval_steady` option to `perfect_foresight_setup` command to compute terminal steady state as the same time as the transitory dynamics (and new options `steady_solve_algo`, `steady_tolf`, `steady_tolx`, `steady_maxit` and `steady_markowitz` to control the steady state nonlinear solver) (d5a3a8e16af56af23c8eb27a693b2e67579bfde0) - New `endval_steady` option to `perfect_foresight_setup` command to compute terminal steady state as the same time as the transitory dynamics (and new options `steady_solve_algo`, `steady_tolf`, `steady_tolx`, `steady_maxit` and `steady_markowitz` to control the steady state nonlinear solver) (d5a3a8e16af56af23c8eb27a693b2e67579bfde0)
    - New `homotopy_linearization_fallback` and `homotopy_marginal_linearization_fallback` options to `perfect_foresight_solver` command to get an approximate solution when homotopy fails to go to 100% (d5a3a8e16af56af23c8eb27a693b2e67579bfde0) - New `homotopy_linearization_fallback` and `homotopy_marginal_linearization_fallback` options to `perfect_foresight_solver` command to get an approximate solution when homotopy fails to go to 100% (d5a3a8e16af56af23c8eb27a693b2e67579bfde0)
    ......