.. Copyright 2021 IRT Saint-Exupéry, https://www.irt-saintexupery.com This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. .. _gen_doe_algos: Options for DOE algorithms ========================== .. _CustomDOE_options: CustomDOE --------- Module: :class:`gemseo.algos.doe.lib_custom` This samples are provided either as a file in text or csv format or as a sequence of sequences of numbers. More details about the algorithm and its options on None. Here are the options available in |g|: .. raw:: html
Options
.. _DiagonalDOE_options: DiagonalDOE ----------- Module: :class:`gemseo.algos.doe.lib_scalable` Diagonal design of experiments More details about the algorithm and its options on None. Here are the options available in |g|: .. raw:: html
Options
.. _OT_AXIAL_options: OT_AXIAL -------- Module: :class:`gemseo.algos.doe.lib_openturns` Axial design More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.Axial.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_COMPOSITE_options: OT_COMPOSITE ------------ Module: :class:`gemseo.algos.doe.lib_openturns` Composite design More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.Composite.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_FACTORIAL_options: OT_FACTORIAL ------------ Module: :class:`gemseo.algos.doe.lib_openturns` Factorial design More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.Factorial.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_FAURE_options: OT_FAURE -------- Module: :class:`gemseo.algos.doe.lib_openturns` Faure sequence More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.FaureSequence.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_FULLFACT_options: OT_FULLFACT ----------- Module: :class:`gemseo.algos.doe.lib_openturns` Full factorial design More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.Box.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_HALTON_options: OT_HALTON --------- Module: :class:`gemseo.algos.doe.lib_openturns` Halton sequence More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.HaltonSequence.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_HASELGROVE_options: OT_HASELGROVE ------------- Module: :class:`gemseo.algos.doe.lib_openturns` Haselgrove sequence More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.HaselgroveSequence.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_LHS_options: OT_LHS ------ Module: :class:`gemseo.algos.doe.lib_openturns` Latin Hypercube Sampling More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.LHS.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_LHSC_options: OT_LHSC ------- Module: :class:`gemseo.algos.doe.lib_openturns` Centered Latin Hypercube Sampling More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.LHS.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_MONTE_CARLO_options: OT_MONTE_CARLO -------------- Module: :class:`gemseo.algos.doe.lib_openturns` Monte Carlo sequence More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.RandomGenerator.html.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_OPT_LHS_options: OT_OPT_LHS ---------- Module: :class:`gemseo.algos.doe.lib_openturns` Optimal Latin Hypercube Sampling More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.SimulatedAnnealingLHS.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_RANDOM_options: OT_RANDOM --------- Module: :class:`gemseo.algos.doe.lib_openturns` Random sampling More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.RandomGenerator.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_REVERSE_HALTON_options: OT_REVERSE_HALTON ----------------- Module: :class:`gemseo.algos.doe.lib_openturns` Reverse Halton More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.ReverseHaltonSequence.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_SOBOL_options: OT_SOBOL -------- Module: :class:`gemseo.algos.doe.lib_openturns` Sobol sequence More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.SobolSequence.html. Here are the options available in |g|: .. raw:: html
Options
.. _OT_SOBOL_INDICES_options: OT_SOBOL_INDICES ---------------- Module: :class:`gemseo.algos.doe.lib_openturns` DOE for Sobol 'indices More details about the algorithm and its options on http://openturns.github.io/openturns/latest/user_manual/_generated/openturns.SobolIndicesAlgorithm.html. Here are the options available in |g|: .. raw:: html
Options
.. _bbdesign_options: bbdesign -------- Module: :class:`gemseo.algos.doe.lib_pydoe` Box-Behnken design implemented in pyDOE More details about the algorithm and its options on https://pythonhosted.org/pyDOE/rsm.html#box-behnken. Here are the options available in |g|: .. raw:: html
Options
.. _ccdesign_options: ccdesign -------- Module: :class:`gemseo.algos.doe.lib_pydoe` Central Composite implemented in pyDOE More details about the algorithm and its options on https://pythonhosted.org/pyDOE/rsm.html#central-composite. Here are the options available in |g|: .. raw:: html
Options
.. _ff2n_options: ff2n ---- Module: :class:`gemseo.algos.doe.lib_pydoe` 2-Level Full-Factorial implemented in pyDOE More details about the algorithm and its options on https://pythonhosted.org/pyDOE/factorial.html#level-full-factorial. Here are the options available in |g|: .. raw:: html
Options
.. _fullfact_options: fullfact -------- Module: :class:`gemseo.algos.doe.lib_pydoe` Full-Factorial implemented in pyDOE More details about the algorithm and its options on https://pythonhosted.org/pyDOE/factorial.html#general-full-factorial. Here are the options available in |g|: .. raw:: html
Options
.. _lhs_options: lhs --- Module: :class:`gemseo.algos.doe.lib_pydoe` Latin Hypercube Sampling implemented in pyDOE More details about the algorithm and its options on https://pythonhosted.org/pyDOE/randomized.html#latin-hypercube. Here are the options available in |g|: .. raw:: html
Options
.. _pbdesign_options: pbdesign -------- Module: :class:`gemseo.algos.doe.lib_pydoe` Plackett-Burman design implemented in pyDOE More details about the algorithm and its options on https://pythonhosted.org/pyDOE/factorial.html#plackett-burman. Here are the options available in |g|: .. raw:: html
Options