Added simpsa optimization algorithm in the manual.
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@ -4457,6 +4457,10 @@ available with @code{mode_compute=7})
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@item 9
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Uses the CMA-ES (Covariance Matrix Adaptation Evolution Strategy) algorithm, an evolutionary algorithm for difficult non-linear non-convex optimization
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@item 10
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Uses the simpsa algorithm, based on the combination of the non-linear simplex and simulated annealing algorithms and proposed by
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@cite{Cardoso, Salcedo and Feyo de Azevedo (1996)}.
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@item @var{FUNCTION_NAME}
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It is also possible to give a @var{FUNCTION_NAME} to this option,
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instead of an @var{INTEGER}. In that case, Dynare takes the return
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@ -8737,6 +8741,10 @@ Brooks, Stephen P., and Andrew Gelman (1998): ``General methods for
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monitoring convergence of iterative simulations,'' @i{Journal of
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computational and graphical statistics}, 7, pp. 434--455
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@item
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Cardoso, Margarida F., R. L. Salcedo and S. Feyo de Azevedo (1996): ``The simplex simulated annealing approach to continuous non-linear optimization'', @i{Computers chem. Engng}, 20(9), 1065-1080
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@item
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Collard, Fabrice (2001): ``Stochastic simulations with Dynare: A practical guide''
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