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@ -3850,9 +3850,9 @@ speed-up on large models.
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.. option:: lmmcp
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.. option:: lmmcp
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Solves the perfect foresight model with a Levenberg-Marquardt
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Solves the perfect foresight model with a Levenberg-Marquardt
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mixed complementarity problem (LMMCP) solver (*Kanzow and Petra
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mixed complementarity problem (LMMCP) solver (*Kanzow and Petra,
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(2004)*), which allows to consider inequality constraints on
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2004*), which allows to consider inequality constraints on
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the endogenous variables (such as a ZLB on the nominal interest
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the endogenous variables (such as a zero lower bound, henceforth ZLB, on the nominal interest
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rate or a model with irreversible investment). This option is
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rate or a model with irreversible investment). This option is
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equivalent to ``stack_solve_algo=7`` **and**
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equivalent to ``stack_solve_algo=7`` **and**
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``solve_algo=10``. Using the LMMCP solver avoids the need for min/max
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``solve_algo=10``. Using the LMMCP solver avoids the need for min/max
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