def __init__(self, ndim=1, w=0.2):
self.problem = ReducedProblem(CantileverBeam(ndim=3*ndim), np.arange(1, 3*ndim, 3), w=w)
self.options = OptionsDictionary()
self.options.declare('ndim', ndim, types=int)
self.options.declare('return_complex', False, types=bool)
self.options.declare('name', 'NdimCantileverBeam', types=str)
self.xlimits = self.problem.xlimits
def __init__(self, ndim=1, w=0.2):
self.problem = ReducedProblem(Rosenbrock(ndim=ndim + 1),
np.arange(1, ndim + 1),
w=w)
self.options = OptionsDictionary()
self.options.declare("ndim", ndim, types=int)
self.options.declare("return_complex", False, types=bool)
self.options.declare("name", "NdimRosenbrock", types=str)
self.xlimits = self.problem.xlimits
def __init__(self, ndim=1, w=0.2):
self.problem = ReducedProblem(RobotArm(ndim=2 * (ndim + 1)),
np.arange(3, 2 * (ndim + 1), 2),
w=w)
self.options = OptionsDictionary()
self.options.declare('ndim', ndim, types=int)
self.options.declare('return_complex', False, types=bool)
self.options.declare('name', 'NdimRobotArm', types=str)
self.xlimits = self.problem.xlimits
class NdimCantileverBeam(Problem):
def __init__(self, ndim=1, w=0.2):
self.problem = ReducedProblem(CantileverBeam(ndim=3 * ndim),
np.arange(1, 3 * ndim, 3),
w=w)
self.options = OptionsDictionary()
self.options.declare("ndim", ndim, types=int)
self.options.declare("return_complex", False, types=bool)
self.options.declare("name", "NdimCantileverBeam", types=str)
self.xlimits = self.problem.xlimits
def _evaluate(self, x, kx):
return self.problem._evaluate(x, kx)
class NdimRobotArm(Problem):
def __init__(self, ndim=1, w=0.2):
self.problem = ReducedProblem(RobotArm(ndim=2 * (ndim + 1)),
np.arange(3, 2 * (ndim + 1), 2),
w=w)
self.options = OptionsDictionary()
self.options.declare("ndim", ndim, types=int)
self.options.declare("return_complex", False, types=bool)
self.options.declare("name", "NdimRobotArm", types=str)
self.xlimits = self.problem.xlimits
def _evaluate(self, x, kx):
return self.problem._evaluate(x, kx)
class NdimRosenbrock(Problem):
def __init__(self, ndim=1, w=0.2):
self.problem = ReducedProblem(Rosenbrock(ndim=ndim + 1),
np.arange(1, ndim + 1),
w=w)
self.options = OptionsDictionary()
self.options.declare('ndim', ndim, types=int)
self.options.declare('return_complex', False, types=bool)
self.options.declare('name', 'NdimRosenbrock', types=str)
self.xlimits = self.problem.xlimits
def _evaluate(self, x, kx):
return self.problem._evaluate(x, kx)