def __init__(self, element, degree = 1, boundary_function = None):
if degree > 1 and boundary_function is None:
raise Exception("Sorry. A boundary function is needed in" +
" order to describe a higher order polynomial" +
" mapping. Either choose degree = 1 or provide" +
" a boundary function.")
self.element = element
self.basis_fncs = basis_from_degree(degree)
self.boundary_function = boundary_function
# Compute the coefficients of the mapping basis.
self.compute_coefficients()
# The interface with the fast c++ evaluation code.
self.eval = MappingEval(self.basis_fncs, self.coefficients)
class PolynomialMapping(object):
"""
This class manages the mapping between physical coordinates and reference
coordinates. Most of the time, this class will be used as a linear
mapping. However, if a curved mesh is desired, a higher degree mapping
can be used. Just specify degree > 1 and a boundary function. It
is also necessary to properly specify the vertex parameter for each
vertex. These will be linearly interpolated when a new point is added.
Besides translating reference to physical points, the class also
provides jacobians to be used when a change of variables is performed
under an integral. Normal vectors are also provided.
"""
def __init__(self, element, degree = 1, boundary_function = None):
if degree > 1 and boundary_function is None:
raise Exception("Sorry. A boundary function is needed in" +
" order to describe a higher order polynomial" +
" mapping. Either choose degree = 1 or provide" +
" a boundary function.")
self.element = element
self.basis_fncs = basis_from_degree(degree)
self.boundary_function = boundary_function
# Compute the coefficients of the mapping basis.
self.compute_coefficients()
# The interface with the fast c++ evaluation code.
self.eval = MappingEval(self.basis_fncs, self.coefficients)
def compute_coefficients(self):
# This is basically an interpolation of the boundary function
# onto the basis
self.coefficients = np.empty((2, self.basis_fncs.n_fncs))
left_vertex = self.element.vertex1
right_vertex = self.element.vertex2
left_param = left_vertex.param
right_param = right_vertex.param
self.coefficients[:, 0] = left_vertex.loc
for i in range(1, self.basis_fncs.n_fncs - 1):
x_hat = self.basis_fncs.nodes[i]
t = (1 - x_hat) * left_param + x_hat * right_param
self.coefficients[:, i] = self.boundary_function(t)
self.coefficients[:, -1] = right_vertex.loc
def get_physical_point(self, x_hat):
"""
Use the mapping defined by the coefficients and basis functions
to convert coordinates
"""
return np.array(self.eval.get_physical_point(x_hat))
def get_jacobian(self, x_hat):
"""
Use the derivative of the mapping defined by the coefficients/basis
to get the determinant of the jacobian! This is used to change
integration coordinates from physical to reference elements.
"""
return self.eval.get_jacobian(x_hat)
def get_normal(self, x_hat):
"""
Use the derivative of the mapping to determine the tangent vector
and thus to determine the local normal vector.
"""
return np.array(self.eval.get_normal(x_hat))
def get_linear_approximation(self):
"""
Computes a small number of linear segments that approximate this
element.
"""
verts = [self.element.vertex1]
for i in range(1, self.basis_fncs.n_fncs - 1):
x_hat = self.basis_fncs.nodes[i]
phys_pt = self.get_physical_point(x_hat)
verts.append(Vertex(phys_pt))
verts.append(self.element.vertex2)
return verts
