# SlsqpOptimizer¶

class SlsqpOptimizer(iter=100, acc=1e-06, iprint=0, trials=1, clip=100.0, full_output=False)[source]

Bases: qiskit.optimization.algorithms.multistart_optimizer.MultiStartOptimizer

The SciPy SLSQP optimizer wrapped as an Qiskit OptimizationAlgorithm.

This class provides a wrapper for scipy.optimize.fmin_slsqp (https://docs.scipy.org/doc/scipy-0.13.0/reference/generated/scipy.optimize.fmin_slsqp.html) to be used within the optimization module. The arguments for fmin_slsqp are passed via the constructor.

Examples

>>> from qiskit.optimization.problems import QuadraticProgram
>>> from qiskit.optimization.algorithms import SlsqpOptimizer
>>> # specify problem here
>>> x = problem.continuous_var(name="x")
>>> y = problem.continuous_var(name="y")
>>> problem.maximize(linear=[2, 0], quadratic=[[-1, 2], [0, -2]])
>>> optimizer = SlsqpOptimizer()
>>> result = optimizer.solve(problem)


Initializes the SlsqpOptimizer.

This initializer takes the algorithmic parameters of SLSQP and stores them for later use of fmin_slsqp when solve() is invoked. This optimizer can be applied to find a (local) optimum for problems consisting of only continuous variables.

Parameters
• iter (int) -- The maximum number of iterations.

• acc (float) -- Requested accuracy.

• iprint (int) --

The verbosity of fmin_slsqp :

• iprint <= 0 : Silent operation

• iprint == 1 : Print summary upon completion (default)

• iprint >= 2 : Print status of each iterate and summary

• trials (int) -- The number of trials for multi-start method. The first trial is solved with the initial guess of zero. If more than one trial is specified then initial guesses are uniformly drawn from [lowerbound, upperbound] with potential clipping.

• clip (float) -- Clipping parameter for the initial guesses in the multi-start method. If a variable is unbounded then the lower bound and/or upper bound are replaced with the -clip or clip values correspondingly for the initial guesses.

• full_output (bool) -- If False, return only the minimizer of func (default). Otherwise, output final objective function and summary information.

Methods

 get_compatibility_msg Checks whether a given problem can be solved with this optimizer. is_compatible Checks whether a given problem can be solved with the optimizer implementing this method. multi_start_solve Applies a multi start method given a local optimizer. solve Tries to solves the given problem using the optimizer.

Attributes

clip

Returns the clip value for this optimizer.

Return type

float

Returns

The clip value.

trials

Returns the number of trials for this optimizer.

Return type

int

Returns

The number of trials.