See: Description
Interface | Description |
---|---|
DoubleIterationMonitor |
Monitors the iterative solution process for convergence and divergence.
|
DoubleIterationReporter |
Reports on the progress of an iterative solver
|
DoubleIterativeSolver |
Iterative linear solver.
|
Class | Description |
---|---|
AbstractDoubleIterationMonitor |
Partial implementation of an iteration reporter
|
AbstractDoubleIterativeSolver |
Partial implementation of an iterative solver
|
CGLSDoubleIterationMonitor | |
DefaultDoubleIterationMonitor |
Default iteration monitor.
|
DoubleBiCG |
BiCG solver.
|
DoubleBiCGstab |
BiCG stablized solver.
|
DoubleCG |
Conjugate Gradients solver.
|
DoubleCGLS |
CGLS is Conjugate Gradient for Least Squares method used for solving
large-scale, ill-posed inverse problems of the form: b = A*x + noise.
|
DoubleCGS |
Conjugate Gradients squared solver.
|
DoubleChebyshev |
Chebyshev solver.
|
DoubleGivensRotation |
Givens plane rotation
|
DoubleGMRES |
GMRES solver.
|
DoubleHyBR |
HyBR is a Hybrid Bidiagonalization Regularization method used for solving
large-scale, ill-posed inverse problems of the form: b = A*x + noise The
method combines an iterative Lanczos Bidiagonalization (LBD) Method with an
SVD-based regularization method to stabilize the semiconvergence behavior
that is characteristic of many ill-posed problems.
|
DoubleIR |
Iterative Refinement.
|
DoubleMRNSD |
MRNSD is Modified Residual Norm Steepest Descent method used for solving
large-scale, ill-posed inverse problems of the form: b = A*x + noise.
|
DoubleQMR |
Quasi-Minimal Residual method.
|
HyBRDoubleIterationMonitor | |
MRNSDDoubleIterationMonitor | |
NoDoubleIterationReporter |
An iteration reporter which does nothing.
|
Enum | Description |
---|---|
DoubleNotConvergedException.Reason |
Possible reasons for lack of convergence
|
HyBRInnerSolver | |
HyBRRegularizationMethod |
Exception | Description |
---|---|
DoubleNotConvergedException |
Signals lack of convergence of an iterative process
|
IterativeSolverDoubleNotConvergedException |
Exception for lack of convergence in a linear problem.
|
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