Cosmetic changes in headers
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@ -1,7 +1,7 @@
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function [dataset_, dataset_info, xparam1, hh, M_, options_, oo_, estim_params_,bayestopt_] = dynare_estimation_init(var_list_, dname, gsa_flag, M_, options_, oo_, estim_params_, bayestopt_)
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% function dynare_estimation_init(var_list_, gsa_flag)
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% preforms initialization tasks before estimation or
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% performs initialization tasks before estimation or
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% global sensitivity analysis
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%
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% INPUTS
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@ -12,16 +12,17 @@ function [x,u] = lyapunov_symm(a,b,third_argument,lyapunov_complex_threshold,met
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% lyapunov_complex_threshold [double] scalar, complex block threshold for the upper triangular matrix T.
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% method [integer] Scalar, if method=0 [default] then U, T, n and k are not persistent.
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% method=1 then U, T, n and k are declared as persistent
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% variables and the schur decomposition is triggered.
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% variables and the Schur decomposition is triggered.
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% method=2 then U, T, n and k are declared as persistent
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% variables and the schur decomposition is not performed.
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% variables and the Schur decomposition is not performed.
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% method=3 fixed point method
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% OUTPUTS
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% x: [double] m*m solution matrix of the lyapunov equation, where m is the dimension of the stable subsystem.
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% u: [double] Schur vectors associated with unit roots
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%
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% ALGORITHM
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% Uses reordered Schur decomposition
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% Uses reordered Schur decomposition (Bartels-Stewart algorithm)
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% [method<3] or a fixed point algorithm (method==4)
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%
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% SPECIAL REQUIREMENTS
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% None
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