Document osr option
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@ -4944,6 +4944,7 @@ Metropolis-Hastings simulations instead of starting from
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scratch. Shouldn't be used together with @code{mh_recover}
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@item optim = (@var{NAME}, @var{VALUE}, ...)
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@anchor{optim}
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A list of @var{NAME} and @var{VALUE} pairs. Can be used to set options for the optimization routines. The set of available options depends on the selected optimization routine (ie on the value of option @ref{mode_compute}):
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@table @code
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@ -6498,9 +6499,8 @@ is specified in the @code{optim_weights}-block. By attaching weights to
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endogenous variables, the subset of endogenous variables entering the
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objective function, @math{y}, is implicitly specified.
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The linear quadratic problem is solved using the numerical optimizer
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@code{csminwel} of Chris Sims.
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The linear quadratic problem is solved using the numerical optimizer specified with @ref{opt_algo}.
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@optionshead
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@ -6511,12 +6511,12 @@ by listing them after the command, as @code{stoch_simul}
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@table @code
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@item maxit = @var{INTEGER} Determines the maximum number of iterations
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used in the non-linear solver. Default: @code{1000}
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@item opt_algo = @var{INTEGER}
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@anchor{opt_algo}
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Specifies the optimizer for minimizing the objective function. The same solvers as for @code{mode_compute} (@pxref{mode_compute}) are available, except for 5,6, and 10.
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@item tolf = @var{DOUBLE} Convergence criterion for termination based on
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the function value. Iteration will cease when it proves impossible to
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improve the function value by more than tolf. Default: @code{1e-7}
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@item optim = (@var{NAME}, @var{VALUE}, ...)
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A list of @var{NAME} and @var{VALUE} pairs. Can be used to set options for the optimization routines. The set of available options depends on the selected optimization routine (i.e. on the value of option @ref{opt_algo}). @xref{optim}.
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@end table
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