exahype2.solvers.LagrangeBasis Namespace Reference

Data Structures
class	LagrangeBasis
	Abstract base class for all Lagrange bases available in ExaHyPE 2. More...

Functions
	render_tensor_1 (tensor, entry_seperator=",", vector_seperator=("{","}"))
	Converts nested list or numpy matrix to nested list of strings.
	render_tensor_2 (tensor, use_multidimensional_arrays, entry_seperator=",", vector_seperator=("{","}"))
	Converts nested list or numpy matrix to nested list of strings.
	render_tensor_3 (tensor, use_multidimensional_arrays, entry_seperator=",", vector_seperator=("{","}"))
	Converts nested list or numpy matrix to nested list of strings.

Function Documentation

render_tensor_1()

exahype2.solvers.LagrangeBasis.render_tensor_1	(		tensor,
			entry_seperator = ",",
			vector_seperator = ("{","}") )

Converts nested list or numpy matrix to nested list of strings.

:param tensor: list or numpy vector storing mpmath numbers

Definition at line 10 of file LagrangeBasis.py.

render_tensor_2()

exahype2.solvers.LagrangeBasis.render_tensor_2	(		tensor,
			use_multidimensional_arrays,
			entry_seperator = ",",
			vector_seperator = ("{","}") )

Converts nested list or numpy matrix to nested list of strings.

:param tensor: nested list or numpy matrix storing mpmath numbers

Definition at line 23 of file LagrangeBasis.py.

render_tensor_3()

exahype2.solvers.LagrangeBasis.render_tensor_3	(		tensor,
			use_multidimensional_arrays,
			entry_seperator = ",",
			vector_seperator = ("{","}") )

Converts nested list or numpy matrix to nested list of strings.

:param tensor: nested list or numpy matrix storing mpmath numbers

Definition at line 50 of file LagrangeBasis.py.