pyanno4rt.optimization.methods._pareto_optimization

Pareto optimization problem.

Overview

Classes
`ParetoOptimization`	Pareto problem class.

Classes

class pyanno4rt.optimization.methods._pareto_optimization.ParetoOptimization(backprojection, objectives, constraints)[source]

Pareto problem class.

This class provides methods to perform pareto optimization. It implements the respective objective and constraint functions.

Parameters:: backprojection (object of class)

:param DoseProjection ConstantRBEProjection: The object representing the type of backprojection. :param objectives: Dictionary with the internally configured objectives. :type objectives: dict :param constraints: Dictionary with the internally configured constraints. :type constraints: dict

backprojection

Type:: object of class

:class:`~pyanno4rt.optimization.projections._dose_projection.DoseProjection` :class:`~pyanno4rt.optimization.projections._constant_rbe_projection.ConstantRBEProjection`: See ‘Parameters’.

objectives

See ‘Parameters’.

Type:: dict

constraints

See ‘Parameters’.

Type:: dict

Overview

Methods
`objective`(fluence)	Compute the objective function value(s).
`constraint`(fluence)	Compute the constraint function value(s).

Members

objective(fluence)[source]

Compute the objective function value(s).

Parameters:: fluence (ndarray) – Fluence vector.
Returns:: Objective function value(s).
Return type:: list

constraint(fluence)[source]

Compute the constraint function value(s).

Parameters:: fluence (ndarray) – Fluence vector.
Returns:: Constraint function value(s).
Return type:: list