6.1.1.1.1.1. pytfa.analysis.chebyshev

Variability analysis

6.1.1.1.1.1.1. Module Contents

6.1.1.1.1.1.1.1. Classes

ChebyshevRadius

Variable representing a Chebyshev radius

6.1.1.1.1.1.1.2. Functions

is_inequality(constraint)

chebyshev_center(model, variables, inplace=False, big_m=BIGM, include=list(), exclude=list())

Computes the chebyshev center of a problem with respect to given variables,

chebyshev_transform(model, vars, include_list=list(), exclude_list=list(), radius_id='radius', scaling_factor=1, big_m=BIGM)

Adds a Chebyshev radius variable and edits accordingly the selected

get_cons_var_classes(model, elements, type)

get_variables(model, variables)

6.1.1.1.1.1.1.3. Attributes

BIGM

pytfa.BIGM = 1000
class pytfa.ChebyshevRadius(model, id_, **kwargs)

Bases: pytfa.optim.variables.ModelVariable

Variable representing a Chebyshev radius

prefix = CR_
pytfa.is_inequality(constraint)
pytfa.chebyshev_center(model, variables, inplace=False, big_m=BIGM, include=list(), exclude=list())

Computes the chebyshev center of a problem with respect to given variables, including `include’ constraints and excluding `exclude’ constraints. Warning: Only works with pyTFA variables so far

Parameters

  • model –

  • variables –

  • inplace –

  • big_m –

Returns

pytfa.chebyshev_transform(model, vars, include_list=list(), exclude_list=list(), radius_id='radius', scaling_factor=1, big_m=BIGM)

Adds a Chebyshev radius variable and edits accordingly the selected constraints

Parameters

  • model –

  • vars – variables with respect to which to perform the Chebyshev centering. If none is supplied, all of the variables in the equation will be considered

  • include_list –

  • exclude_list –

  • radius_id –

  • big_m –

Returns

pytfa.get_cons_var_classes(model, elements, type)
pytfa.get_variables(model, variables)