def __init__(self, mesh, mean=0.0, name = '', hasOld = 0):
r"""
:Parameters:
- `mesh`: The mesh on which to define the noise.
- `mean`: The mean of the distribution :math:`\mu`.
"""
NoiseVariable.__init__(self, mesh = mesh, name = name, hasOld = hasOld)
self.mean = self._requires(mean)
def __init__(self, mesh, mean=0.0, name = '', hasOld = 0):
r"""
:Parameters:
- `mesh`: The mesh on which to define the noise.
- `mean`: The mean of the distribution :math:`\mu`.
"""
NoiseVariable.__init__(self, mesh = mesh, name = name, hasOld = hasOld)
self.mean = self._requires(mean)
def __init__(self, mesh, name='', minimum=0., maximum=1., hasOld=0):
"""
:Parameters:
- `mesh`: The mesh on which to define the noise.
- `minimum`: The minimum (not-inclusive) value of the distribution.
- `maximum`: The maximum (not-inclusive) value of the distribution.
"""
self.minimum = minimum
self.maximum = maximum
NoiseVariable.__init__(self, mesh=mesh, name=name, hasOld=hasOld)
def __init__(self, mesh, name = '', mean = 0., variance = 1., hasOld = 0):
"""
:Parameters:
- `mesh`: The mesh on which to define the noise.
- `mean`: The mean of the noise distrubution, :math:`\mu`.
- `variance`: The variance of the noise distribution, :math:`\sigma^2`.
"""
self.mean = mean
self.variance = variance
NoiseVariable.__init__(self, mesh = mesh, name = name, hasOld = hasOld)
def __init__(self, mesh, name = '', minimum = 0., maximum = 1., hasOld = 0):
"""
:Parameters:
- `mesh`: The mesh on which to define the noise.
- `minimum`: The minimum (not-inclusive) value of the distribution.
- `maximum`: The maximum (not-inclusive) value of the distribution.
"""
self.minimum = minimum
self.maximum = maximum
NoiseVariable.__init__(self, mesh = mesh, name = name, hasOld = hasOld)
def __init__(self, mesh, name='', mean=0., variance=1., hasOld=0):
"""
:Parameters:
- `mesh`: The mesh on which to define the noise.
- `mean`: The mean of the noise distribution, :math:`\mu`.
- `variance`: The variance of the noise distribution, :math:`\sigma^2`.
"""
self.mean = mean
self.variance = variance
NoiseVariable.__init__(self, mesh=mesh, name=name, hasOld=hasOld)
def __init__(self, mesh, shape, rate, name = '', hasOld = 0):
r"""
:Parameters:
- `mesh`: The mesh on which to define the noise.
- `shape`: The shape parameter, :math:`\alpha`.
- `rate`: The rate or inverse scale parameter, :math:`\beta`.
"""
NoiseVariable.__init__(self, mesh = mesh, name = name, hasOld = hasOld)
self.shapeParam = self._requires(shape)
self.rate = self._requires(rate)
def __init__(self, mesh, shape, rate, name = '', hasOld = 0):
r"""
:Parameters:
- `mesh`: The mesh on which to define the noise.
- `shape`: The shape parameter, :math:`\alpha`.
- `rate`: The rate or inverse scale parameter, :math:`\beta`.
"""
NoiseVariable.__init__(self, mesh = mesh, name = name, hasOld = hasOld)
self.shapeParam = self._requires(shape)
self.rate = self._requires(rate)
def __init__(self, mesh, mean=0.0, name='', hasOld=0):
r"""
Parameters
----------
mesh : ~fipy.meshes.mesh.Mesh
The mesh on which to define the noise.
mean : float
The mean of the distribution :math:`\mu`.
"""
NoiseVariable.__init__(self, mesh=mesh, name=name, hasOld=hasOld)
self.mean = self._requires(mean)
def __init__(self, mesh, alpha, beta, name='', hasOld=0):
r"""
:Parameters:
- `mesh`: The mesh on which to define the noise.
- `alpha`: The parameter :math:`\alpha`.
- `beta`: The parameter :math:`\beta`.
"""
NoiseVariable.__init__(self, mesh=mesh, name=name, hasOld=hasOld)
self.alpha = self._requires(alpha)
self.beta = self._requires(beta)
def __init__(self, mesh, alpha, beta, name = '', hasOld = 0):
r"""
:Parameters:
- `mesh`: The mesh on which to define the noise.
- `alpha`: The parameter :math:`\alpha`.
- `beta`: The parameter :math:`\beta`.
"""
NoiseVariable.__init__(self, mesh = mesh, name = name, hasOld = hasOld)
self.alpha = self._requires(alpha)
self.beta = self._requires(beta)
def __init__(self, mesh, alpha, beta, name = '', hasOld = 0):
r"""
Parameters
----------
mesh : ~fipy.meshes.mesh.Mesh
The mesh on which to define the noise.
alpha : float
The parameter :math:`\alpha`.
beta : float
The parameter :math:`\beta`.
"""
NoiseVariable.__init__(self, mesh = mesh, name = name, hasOld = hasOld)
self.alpha = self._requires(alpha)
self.beta = self._requires(beta)
def __init__(self, mesh, name='', mean=0., variance=1., hasOld=0):
"""
Parameters
----------
mesh : ~fipy.meshes.mesh.Mesh
The mesh on which to define the noise.
mean : float
The mean of the noise distribution, :math:`\mu`.
variance : float
The variance of the noise distribution, :math:`\sigma^2`.
"""
self.mean = mean
self.variance = variance
NoiseVariable.__init__(self, mesh=mesh, name=name, hasOld=hasOld)
def __init__(self, mesh, name='', minimum=0., maximum=1., hasOld=0):
"""
Parameters
----------
mesh : ~fipy.meshes.mesh.Mesh
The mesh on which to define the noise.
minimum : float
The minimum (not-inclusive) value of the distribution.
maximum : float
The maximum (not-inclusive) value of the distribution.
"""
self.minimum = minimum
self.maximum = maximum
NoiseVariable.__init__(self, mesh=mesh, name=name, hasOld=hasOld)
def __init__(self, mesh, shape, rate, name='', hasOld=0):
r"""
Parameters
----------
mesh : ~fipy.meshes.mesh.Mesh
The mesh on which to define the noise.
shape : float
The shape parameter, :math:`\alpha`.
rate : float
The rate or inverse scale parameter, :math:`\beta`.
"""
NoiseVariable.__init__(self, mesh=mesh, name=name, hasOld=hasOld)
self.shapeParam = self._requires(shape)
self.rate = self._requires(rate)
