def inner(self, vec):
""" Computes the inner product with vec. """
assert isinstance(vec, DolfinPrimalVector)
events.increment("Inner product")
v = self.riesz_map.dual_map(self.data.vector())
return v.inner(self.data.vector())
def dual(self):
""" Returns the dual representation. """
events.increment("Primal -> dual map")
if isinstance(self.data, dolfin.Function):
V = self.data.function_space()
dual_vec = self.riesz_map.dual_map(self.data.vector())
dual = dolfin.Function(V, dual_vec)
return DolfinDualVector(dual, riesz_map=self.riesz_map)
else:
return self
def primal(self):
""" Returns the primal representation. """
events.increment("Dual -> primal map")
if isinstance(self.data, dolfin.Function):
V = self.data.function_space()
dual = dolfin.Function(V)
self.riesz_map.primal_map(dual.vector(), self.data.vector())
return DolfinPrimalVector(dual, riesz_map=self.riesz_map)
elif isinstance(self.data, dolfin.MultiMeshFunction):
V = self.data.function_space()
dual = dolfin.MultiMeshFunction(V)
self.riesz_map.primal_map(dual.vector(), self.data.vector())
return DolfinPrimalVector(dual, riesz_map=self.riesz_map)
else:
return self
def inner(self, vec):
""" Computes the inner product with vec. """
assert isinstance(vec, DolfinPrimalVectorSet)
events.increment("Inner product")
return sum([ss.inner(vec) for ss, vec in zip(self.vector_list, vec.vector_list)])
def primal(self):
""" Returns the primal representation. """
events.increment("Dual -> primal map")
return NumpyPrimalVector(self.data.copy())
def inner(self, vec):
""" Computes the inner product with vec. """
assert isinstance(vec, NumpyPrimalVector)
events.increment("Inner product")
return float(np.dot(self.data, vec.data))
def primal(self):
""" Returns the primal representation. """
events.increment("Dual -> primal map")
return NumpyPrimalVector(self.data.copy())
def inner(self, vec):
""" Computes the inner product with vec. """
assert isinstance(vec, NumpyPrimalVector)
events.increment("Inner product")
return float(np.dot(self.data, vec.data))
