Source code for qiskit_machine_learning.optimizers.nlopts.direct_l

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# (C) Copyright IBM 2018, 2024.
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# This code is licensed under the Apache License, Version 2.0. You may
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"""DIviding RECTangles Locally-biased optimizer."""

from .nloptimizer import NLoptOptimizer, NLoptOptimizerType




class DIRECT_L(NLoptOptimizer):  # pylint: disable=invalid-name
    """
    DIviding RECTangles Locally-biased optimizer.

    DIviding RECTangles (DIRECT) is a deterministic-search algorithms based on systematic division
    of the search domain into increasingly smaller hyper-rectangles.
    The DIRECT-L version is a "locally biased" variant of DIRECT that makes the algorithm more
    biased towards local search, so that it is more efficient for functions with few local minima.

    NLopt global optimizer, derivative-free.
    For further detail, please refer to
    http://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/#direct-and-direct-l
    """



    def get_nlopt_optimizer(self) -> NLoptOptimizerType:
        """Return NLopt optimizer type"""
        return NLoptOptimizerType.GN_DIRECT_L