fipy.terms.residualTerm¶
Classes
  | 
The ResidualTerm is a special form of explicit SourceTerm that adds the residual of one equation to another equation.  | 
- class fipy.terms.residualTerm.ResidualTerm(equation, underRelaxation=1.0)¶
 Bases:
_ExplicitSourceTermThe ResidualTerm is a special form of explicit SourceTerm that adds the residual of one equation to another equation. Useful for Newton’s method.
- Parameters:
 coeff (
floatorCellVariable) – Coefficient of source (default: 0)var (
CellVariable) – Variable \(\phi\) thatSourceTermis implicit in.
- property RHSvector¶
 Return the RHS vector calculated in solve() or sweep(). The cacheRHSvector() method should be called before solve() or sweep() to cache the vector.
- __eq__(other)¶
 Return self==value.
- __hash__()¶
 Return hash(self).
- __mul__(other)¶
 Multiply a term
>>> 2. * __NonDiffusionTerm(coeff=0.5) __NonDiffusionTerm(coeff=1.0)
Test for ticket:291.
>>> from fipy import PowerLawConvectionTerm >>> PowerLawConvectionTerm(coeff=[[1], [0]]) * 1.0 PowerLawConvectionTerm(coeff=array([[ 1.], [ 0.]]))
- __neg__()¶
 Negate a Term.
>>> -__NonDiffusionTerm(coeff=1.) __NonDiffusionTerm(coeff=-1.0)
- __repr__()¶
 The representation of a Term object is given by,
>>> print(__UnaryTerm(123.456)) __UnaryTerm(coeff=123.456)
- __rmul__(other)¶
 Multiply a term
>>> 2. * __NonDiffusionTerm(coeff=0.5) __NonDiffusionTerm(coeff=1.0)
Test for ticket:291.
>>> from fipy import PowerLawConvectionTerm >>> PowerLawConvectionTerm(coeff=[[1], [0]]) * 1.0 PowerLawConvectionTerm(coeff=array([[ 1.], [ 0.]]))
- cacheMatrix()¶
 Informs solve() and sweep() to cache their matrix so that matrix can return the matrix.
- cacheRHSvector()¶
 Informs solve() and sweep() to cache their right hand side vector so that getRHSvector() can return it.
- justErrorVector(var=None, solver=None, boundaryConditions=(), dt=1.0, underRelaxation=None, residualFn=None)¶
 Builds the Term’s linear system once.
This method also recalculates and returns the error as well as applying under-relaxation.
justErrorVector returns the overlapping local value in parallel (not the non-overlapping value).
>>> from fipy.solvers import DummySolver >>> from fipy import * >>> m = Grid1D(nx=10) >>> v = CellVariable(mesh=m) >>> len(DiffusionTerm().justErrorVector(v, solver=DummySolver())) == m.numberOfCells True
- Parameters:
 var (
CellVariable) – Variable to be solved for. Provides the initial condition, the old value and holds the solution on completion.solver (
Solver) – Iterative solver to be used to solve the linear system of equations. The default sovler depends on the solver package selected.boundaryConditions (
tupleofBoundaryCondition) –dt (
float) – Timestep size.underRelaxation (
float) – Usually a value between 0 and 1 or None in the case of no under-relaxationresidualFn (
function) – Takes var, matrix, and RHSvector arguments, used to customize the residual calculation.
- Returns:
 error – The residual vector \(\vec{e}=\mathsf{L}\vec{x}_\text{old} - \vec{b}\)
- Return type:
 
- justResidualVector(var=None, solver=None, boundaryConditions=(), dt=None, underRelaxation=None, residualFn=None)¶
 Builds the Term’s linear system once.
This method also recalculates and returns the residual as well as applying under-relaxation.
justResidualVector returns the overlapping local value in parallel (not the non-overlapping value).
>>> from fipy import * >>> m = Grid1D(nx=10) >>> v = CellVariable(mesh=m) >>> len(numerix.asarray(DiffusionTerm().justResidualVector(v))) == m.numberOfCells True
- Parameters:
 var (
CellVariable) – Variable to be solved for. Provides the initial condition, the old value and holds the solution on completion.solver (
Solver) – Iterative solver to be used to solve the linear system of equations. The default sovler depends on the solver package selected.boundaryConditions (
tupleofBoundaryCondition) –dt (
float) – Timestep size.underRelaxation (
float) – Usually a value between 0 and 1 or None in the case of no under-relaxationresidualFn (
function) – Takes var, matrix, and RHSvector arguments, used to customize the residual calculation.
- Returns:
 residual – The residual vector \(\vec{r}=\mathsf{L}\vec{x} - \vec{b}\)
- Return type:
 
- property matrix¶
 Return the matrix calculated in solve() or sweep(). The cacheMatrix() method should be called before solve() or sweep() to cache the matrix.
- residualVectorAndNorm(var=None, solver=None, boundaryConditions=(), dt=None, underRelaxation=None, residualFn=None)¶
 Builds the Term’s linear system once.
This method also recalculates and returns the residual as well as applying under-relaxation.
- Parameters:
 var (
CellVariable) – Variable to be solved for. Provides the initial condition, the old value and holds the solution on completion.solver (
Solver) – Iterative solver to be used to solve the linear system of equations. The default sovler depends on the solver package selected.boundaryConditions (
tupleofBoundaryCondition) –dt (
float) – Timestep size.underRelaxation (
float) – Usually a value between 0 and 1 or None in the case of no under-relaxationresidualFn (
function) – Takes var, matrix, and RHSvector arguments, used to customize the residual calculation.
- Returns:
 residual (
CellVariable) – The residual vector \(\vec{r}=\mathsf{L}\vec{x} - \vec{b}\)norm (
float) – The L2 norm of residual, \(\|\vec{r}\|_2\)
- solve(var=None, solver=None, boundaryConditions=(), dt=None)¶
 Builds and solves the Term’s linear system once. This method does not return the residual. It should be used when the residual is not required.
- Parameters:
 var (
CellVariable) – Variable to be solved for. Provides the initial condition, the old value and holds the solution on completion.solver (
Solver) – Iterative solver to be used to solve the linear system of equations. The default sovler depends on the solver package selected.boundaryConditions (
tupleofBoundaryCondition) –dt (
float) – Timestep size.
- sweep(var=None, solver=None, boundaryConditions=(), dt=None, underRelaxation=None, residualFn=None, cacheResidual=False, cacheError=False)¶
 Builds and solves the Term’s linear system once. This method also recalculates and returns the residual as well as applying under-relaxation.
- Parameters:
 var (
CellVariable) – Variable to be solved for. Provides the initial condition, the old value and holds the solution on completion.solver (
Solver) – Iterative solver to be used to solve the linear system of equations. The default sovler depends on the solver package selected.boundaryConditions (
tupleofBoundaryCondition) –dt (
float) – Timestep size.underRelaxation (
float) – Usually a value between 0 and 1 or None in the case of no under-relaxationresidualFn (
function) – Takes var, matrix, and RHSvector arguments, used to customize the residual calculation.cacheResidual (
bool) – If True, calculate and store the residual vector \(\vec{r}=\mathsf{L}\vec{x} - \vec{b}\) in the residualVector member of TermcacheError (
bool) – If True, use the residual vector \(\vec{r}\) to solve \(\mathsf{L}\vec{e}=\vec{r}\) for the error vector \(\vec{e}\) and store it in the errorVector member of Term
- Returns:
 residual – The residual vector \(\vec{r}=\mathsf{L}\vec{x} - \vec{b}\)
- Return type:
 
        FiPy