discopt.solvers.mip_nlp_options

Shared option names for the MIP-NLP solver-family facade.

Attributes

FP_OPTION_KEYS
GOA_OA_FORWARD_OPTION_KEYS
GOA_AMP_OPTION_DEFAULTS
GOA_AMP_ONLY_OPTION_KEYS
GOA_OPTION_KEYS
MIP_NLP_PROFILE_OPTION_KEYS
SHOT_OPTION_KEYS

Classes

MIPNLPShotConfig

Validated experimental controls for the SHOT-parity MIP-NLP profile.

Functions

normalize_mip_nlp_profile(→ str)	Normalize the optional MIP-NLP profile selector.
normalize_shot_config(→ MIPNLPShotConfig)	Validate the SHOT-profile option subset and fill stable defaults.
split_mip_nlp_profile_options(→ tuple[str, ...)	Separate experimental profile options from method-native options.
ensure_mip_nlp_trace(→ None)	Attach a minimal trace envelope when a solver path did not populate one.

Module Contents

discopt.solvers.mip_nlp_options.FP_OPTION_KEYS = ('fp_iteration_limit', 'fp_cutoffdecr', 'fp_projcuts', 'fp_transfercuts', 'fp_projzerotol',...

discopt.solvers.mip_nlp_options.GOA_OA_FORWARD_OPTION_KEYS = ('rel_gap', 'max_iter', 'init_strategy', 'feasibility_norm', 'fp_iteration_limit',...

discopt.solvers.mip_nlp_options.GOA_AMP_OPTION_DEFAULTS: dict[str, Any]

discopt.solvers.mip_nlp_options.GOA_AMP_ONLY_OPTION_KEYS = ('abs_tol', 'use_start_as_incumbent', 'n_init_partitions', 'partition_method',...

discopt.solvers.mip_nlp_options.GOA_OPTION_KEYS

discopt.solvers.mip_nlp_options.MIP_NLP_PROFILE_OPTION_KEYS = ('mip_nlp_profile',)

discopt.solvers.mip_nlp_options.SHOT_OPTION_KEYS = ('tree_strategy', 'cut_strategy', 'objective_epigraph', 'anti_epigraph',...

class discopt.solvers.mip_nlp_options.MIPNLPShotConfig

Validated experimental controls for the SHOT-parity MIP-NLP profile.

tree_strategy: str = 'multi_tree'

cut_strategy: str = 'auto'

objective_epigraph: str = 'auto'

anti_epigraph: str = 'auto'

nonlinear_partitioning: str = 'auto'

quadratic_partitioning: str = 'auto'

absolute_value_auxiliaries: str = 'auto'

monomial_extraction: str = 'auto'

signomial_extraction: str = 'auto'

integer_bilinear_strategy: str = 'auto'

integer_bilinear_max_bits: int | None = 12

quadratic_extraction: str = 'auto'

direct_quadratic_routing: str = 'auto'

rootsearch_strategy: str = 'auto'

fixed_nlp_strategy: str = 'adaptive'

solution_pool_capacity: int | None = None

hyperplane_max_per_iter: int | None = None

hyperplane_selection_factor: float = 1.0

relaxation_phase: str = 'auto'

mip_solution_limit_strategy: str = 'adaptive'

convex_bounding: bool = False

master_repair: bool = False

reduction_cuts: bool = False

as_trace_dict() → dict[str, Any]

discopt.solvers.mip_nlp_options.normalize_mip_nlp_profile(value: Any = None) → str

Normalize the optional MIP-NLP profile selector.

discopt.solvers.mip_nlp_options.normalize_shot_config(raw_options: dict[str, Any]) → MIPNLPShotConfig

Validate the SHOT-profile option subset and fill stable defaults.

discopt.solvers.mip_nlp_options.split_mip_nlp_profile_options(options: dict[str, Any]) → tuple[str, MIPNLPShotConfig | None, dict[str, Any]]

Separate experimental profile options from method-native options.

discopt.solvers.mip_nlp_options.ensure_mip_nlp_trace(result: Any, *, method: str, profile: str, shot_config: MIPNLPShotConfig | None) → None

Attach a minimal trace envelope when a solver path did not populate one.