paraqeet.optimizers.scipy_optimizer_gradient.ScipyOptimizerGradient#

class paraqeet.optimizers.scipy_optimizer_gradient.ScipyOptimizerGradient(measure, optimization_map)#

Bases: ScipyOptimizer

The Scipy Optimizer gradient model.

Minimize the outcome of a measurement with the Scipy optimization package.

Parameters:

measure (NormalizableMeasurement)
optimization_map (OptimizationMap)

__init__(measure, optimization_map)#

Parameters:

measure (NormalizableMeasurement)
optimization_map (OptimizationMap)

Return type:

None

Methods

`__init__`(measure, optimization_map)
`optimize`(times)	Optimize via the Scipy optimizer gradient model.
`set_options`(opts)	Set the options for the system.
`update_option`(key, val)	Updates one option for the system.

Attributes

`callback`	Returns the callback function.
`logger`	Returns the current logger that is being used by this optimizer, or None if no logger was set yet.
`method`	Returns the currently selected optimization method.
`optimization_map`	Return the optimization map that this optimizer uses.

property callback: Callable | None#: Returns the callback function.

property logger: Logger | None#: Returns the current logger that is being used by this optimizer, or None if no logger was set yet.

property method: str#: Returns the currently selected optimization method.

property optimization_map: OptimizationMap#

Return the optimization map that this optimizer uses.

Parameters that can be optimized need to be added to this map.

Returns:: Returns the optimization map that this optimizer uses.
Return type:: paraqeet.optimization_map

optimize(times)#

Optimize via the Scipy optimizer gradient model.

Performs the actual optimization.

Note - If input `times` is a float, then the start time of propagation is implicitly assumed to be zero. For an array of times, the first time point is the start time.

Returns:: The result of the optimization.
Return type:: OptimizationResult
Parameters:: times (Array | float)

set_options(opts)#

Set the options for the system.

Parameters:: opts (dict)

update_option(key, val)#: Updates one option for the system.