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@ -3016,7 +3016,7 @@ Finding the steady state with Dynare nonlinear solver
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nonlinear system. This is similar to ``2``, but is typically
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nonlinear system. This is similar to ``2``, but is typically
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more efficient. The block decomposition is done at the
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more efficient. The block decomposition is done at the
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preprocessor level, which brings two benefits: it identifies
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preprocessor level, which brings two benefits: it identifies
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blocks that can be evaluated rather than solved; and evulations
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blocks that can be evaluated rather than solved; and evaluations
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of the residual and Jacobian of the model are more efficient
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of the residual and Jacobian of the model are more efficient
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because only the relevant elements are recomputed at every
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because only the relevant elements are recomputed at every
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iteration.
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iteration.
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@ -3029,7 +3029,7 @@ Finding the steady state with Dynare nonlinear solver
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typically more efficient. The block decomposition is done at
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typically more efficient. The block decomposition is done at
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the preprocessor level, which brings two benefits: it
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the preprocessor level, which brings two benefits: it
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identifies blocks that can be evaluated rather than solved; and
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identifies blocks that can be evaluated rather than solved; and
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evulations of the residual and Jacobian of the model are more
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evaluations of the residual and Jacobian of the model are more
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efficient because only the relevant elements are recomputed at
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efficient because only the relevant elements are recomputed at
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every iteration.
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every iteration.
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