def get_proposal_points(self, n):
"""
Returns n points which lie on a uniform grid on the "center" of the banana
"""
if self.dimension == 2:
(xmin, xmax), _ = self.get_plotting_bounds()
x1 = linspace(xmin, xmax, n)
x2 = self.bananicity * (x1**2 - self.V)
return array([x1, x2]).T
else:
return Distribution.get_proposal_points(self, n)
def get_proposal_points(self, n):
"""
Returns n points which lie on a uniform grid on the "center" of the banana
"""
if self.dimension == 2:
(xmin, xmax), _ = self.get_plotting_bounds()
x1 = linspace(xmin, xmax, n)
x2 = self.bananicity * (x1 ** 2 - self.V)
return array([x1, x2]).T
else:
return Distribution.get_proposal_points(self, n)
def get_proposal_points(self, n):
"""
Returns n points which lie on a uniform grid on the "center" of the flower
"""
if self.dimension == 2:
theta = linspace(0, 2 * pi, n)
# sample radius
radius_sample = zeros(n) + self.radius + \
self.amplitude * cos(self.frequency * theta)
# sample points
X = array((cos(theta) * radius_sample, sin(theta) * radius_sample)).T
return X
else:
return Distribution.get_proposal_points(self, n)
def get_proposal_points(self, n):
"""
Returns n points which lie on a uniform grid on the "center" of the flower
"""
if self.dimension == 2:
theta = linspace(0, 2 * pi, n)
# sample radius
radius_sample = zeros(n) + self.radius + \
self.amplitude * cos(self.frequency * theta)
# sample points
X = array(
(cos(theta) * radius_sample, sin(theta) * radius_sample)).T
return X
else:
return Distribution.get_proposal_points(self, n)
