This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 12345]

Tempus_Test::Basis
Describable
Tempus::Integrator< Scalar >	Thyra Base interface for time integrators. Time integrators are designed to advance the solution from an initial time, , to a final time,
Tempus::IntegratorAdjointSensitivity< Scalar >	Time integrator suitable for adjoint sensitivity analysis
Tempus::IntegratorBasic< Scalar >	Basic time integrator
Tempus::IntegratorForwardSensitivity< Scalar >	Time integrator implementing forward sensitivity analysis
Tempus::IntegratorPseudoTransientAdjointSensitivity< Scalar >	Time integrator suitable for pseudotransient adjoint sensitivity analysis
Tempus::IntegratorPseudoTransientForwardSensitivity< Scalar >	Time integrator suitable for pseudotransient forward sensitivity analysis
Tempus::Interpolator< Scalar >	Base strategy class for interpolation functionality
Tempus::InterpolatorLagrange< Scalar >	Concrete implemenation of `Interpolator` that does simple lagrange interpolation
Tempus::PhysicsState< Scalar >	PhysicsState is a simple class to hold information about the physics
Tempus_Test::PhysicsStateCounter< Scalar >	PhysicsStateCounter is a simple PhysicsState that counts steps
Tempus::RKButcherTableau< Scalar >	Runge-Kutta methods
Tempus::SolutionHistory< Scalar >	SolutionHistory is basically a container of SolutionStates. SolutionHistory maintains a collection of SolutionStates for later retrival and reuse, such as checkpointing, restart, and undo operations
Tempus::SolutionState< Scalar >	Solution state for integrators and steppers. SolutionState contains the metadata for solutions and the solutions themselves
Tempus::SolutionStateMetaData< Scalar >	Solution state meta data
Tempus::Stepper< Scalar >	Thyra Base interface for time steppers
Tempus::StepperExplicit< Scalar >	Thyra Base interface for implicit time steppers
Tempus::StepperExplicitRK< Scalar >	Explicit Runge-Kutta time stepper
Tempus::StepperERK_3_8Rule< Scalar >	Explicit RK 3/8th Rule Butcher Tableau
Tempus::StepperERK_3Stage3rdOrder< Scalar >	RK Explicit 3 Stage 3rd order
Tempus::StepperERK_3Stage3rdOrderHeun< Scalar >	RK Explicit 3 Stage 3rd order by Heun
Tempus::StepperERK_3Stage3rdOrderTVD< Scalar >	RK Explicit 3 Stage 3rd order TVD
Tempus::StepperERK_4Stage3rdOrderRunge< Scalar >	RK Explicit 4 Stage 3rd order by Runge
Tempus::StepperERK_4Stage4thOrder< Scalar >	Runge-Kutta 4th order Butcher Tableau
Tempus::StepperERK_5Stage3rdOrderKandG< Scalar >	RK Explicit 5 Stage 3rd order by Kinnmark and Gray
Tempus::StepperERK_BogackiShampine32< Scalar >	Explicit RK Bogacki-Shampine Butcher Tableau
Tempus::StepperERK_ForwardEuler< Scalar >	Forward Euler Runge-Kutta Butcher Tableau
Tempus::StepperERK_General< Scalar >	General Explicit Runge-Kutta Butcher Tableau
Tempus::StepperERK_Merson45< Scalar >	Explicit RK Merson Butcher Tableau
Tempus::StepperERK_Midpoint< Scalar >	RK Explicit Midpoint
Tempus::StepperERK_Trapezoidal< Scalar >	RK Explicit Trapezoidal
Tempus::StepperForwardEuler< Scalar >	Forward Euler time stepper
Tempus::StepperLeapfrog< Scalar >	Leapfrog time stepper
Tempus::StepperNewmarkExplicitAForm< Scalar >	Newmark Explicit time stepper
Tempus_Test::StepperPhysicsStateTest< Scalar >	This is a Forward Euler time stepper to test the PhysicsState
Tempus::StepperImplicit< Scalar >	Thyra Base interface for implicit time steppers
Tempus::StepperBackwardEuler< Scalar >	Backward Euler time stepper
Tempus::StepperBDF2< Scalar >	BDF2 (Backward-Difference-Formula-2) time stepper
Tempus::StepperDIRK< Scalar >	Diagonally Implicit Runge-Kutta (DIRK) time stepper
Tempus::StepperDIRK_1Stage1stOrderRadauIA< Scalar >	RK Implicit 1 Stage 1st order Radau IA
Tempus::StepperDIRK_1StageTheta< Scalar >	SDIRK 1 Stage Theta
Tempus::StepperDIRK_2Stage2ndOrderLobattoIIIB< Scalar >	RK Implicit 2 Stage 2nd order Lobatto IIIB
Tempus::StepperDIRK_BackwardEuler< Scalar >	Backward Euler Runge-Kutta Butcher Tableau
Tempus::StepperDIRK_General< Scalar >	General Implicit Runge-Kutta Butcher Tableau
Tempus::StepperEDIRK_2Stage3rdOrder< Scalar >	EDIRK 2 Stage 3rd order
Tempus::StepperEDIRK_2StageTheta< Scalar >	EDIRK 2 Stage Theta Method
Tempus::StepperEDIRK_TrapezoidalRule< Scalar >	RK Trapezoidal Rule (A.K.A. RK Crank-Nicolson)
Tempus::StepperSDIRK_21Pair< Scalar >	SDIRK 2(1) pair
Tempus::StepperSDIRK_2Stage2ndOrder< Scalar >	SDIRK 2 Stage 2nd order
Tempus::StepperSDIRK_2Stage3rdOrder< Scalar >	SDIRK 2 Stage 3rd order
Tempus::StepperSDIRK_3Stage4thOrder< Scalar >	SDIRK 3 Stage 4th order
Tempus::StepperSDIRK_5Stage4thOrder< Scalar >	SDIRK 5 Stage 4th order
Tempus::StepperSDIRK_5Stage5thOrder< Scalar >	SDIRK 5 Stage 5th order
Tempus::StepperSDIRK_ImplicitMidpoint< Scalar >	SDIRK Implicit Midpoint
Tempus::StepperHHTAlpha< Scalar >	HHT-Alpha time stepper
Tempus::StepperIMEX_RK< Scalar >	Implicit-Explicit Runge-Kutta (IMEX-RK) time stepper
Tempus::StepperIMEX_RK_Partition< Scalar >	Partitioned Implicit-Explicit Runge-Kutta (IMEX-RK) time stepper
Tempus::StepperNewmarkImplicitAForm< Scalar >	Newmark time stepper in acceleration form (a-form)
Tempus::StepperNewmarkImplicitDForm< Scalar >	Newmark time stepper
Tempus::StepperTrapezoidal< Scalar >	Trapezoidal method time stepper
Tempus::StepperOperatorSplit< Scalar >	OperatorSplit stepper loops through the Stepper list
Tempus::StepperStaggeredForwardSensitivity< Scalar >	A stepper implementing staggered forward sensitivity analysis
Tempus::StepperSubcycling< Scalar >	Subcycling time stepper
Tempus::StepperState< Scalar >	StepperState is a simple class to hold state information about the stepper
Tempus::TimeStepControl< Scalar >	TimeStepControl manages the time step size. There several mechanicisms that effect the time step size and handled with this class:
ExplicitODEParameters< Scalar >
Tempus::ImplicitODEParameters< Scalar >
Tempus::IntegratorObserver< Scalar >	IntegratorObserver class for time integrators
Tempus::IntegratorObserverBasic< Scalar >	IntegratorObserverBasic class for time integrators. This basic class has simple no-op functions, as all basic functionality should be handled through other methods
Tempus::IntegratorObserverComposite< Scalar >	This observer is a composite observer,
Tempus::IntegratorObserverLogging< Scalar >	This observer logs calls to observer functions. This observer simply logs and counts the calls to each of the observer functions. This is useful in monirtoring and debugging the time integration
Tempus::IntegratorObserverSubcycling< Scalar >	IntegratorObserverSubcycling class for time integrators. This basic class has simple no-op functions, as all basic functionality should be handled through other methods
Tempus::InterpolatorFactory< Scalar >	Interpolator factory
LinearOpWithSolveBase
Thyra::ScaledIdentityLinearOpWithSolve< Scalar >	Implicit concrete `LinearOpBase` subclass that takes a flattended out multi-vector and performs a multi-RHS apply with it
LinearOpWithSolveFactoryBase
Thyra::AdjointLinearOpWithSolveFactory< Scalar >	Create a LinearOpWithSolveFactory for an adjoint linear op
Thyra::BlockedTriangularLinearOpWithSolveFactory< Scalar >	Implicit subclass that takes a blocked triangular LOWB object and turns it into a LOWSB object
Thyra::MultiVectorLinearOpWithSolveFactory< Scalar >	Create a LinearOpWithSolveFactory for a flattened-out multi-vector
Thyra::ReuseLinearOpWithSolveFactory< Scalar >	A LinearOpWithSolveFactory that is designed to reuse an already created/initialized preconditioner
Thyra::ScaledIdentityLinearOpWithSolveFactory< Scalar >	Create a LinearOpWithSolveFactory for a flattened-out multi-vector
Tempus_Test::LinearRegression< Scalar >	Linear regression class. Copied and modified from Rythmos
Tempus_Test::ModelEvaluator1DFEM< Scalar >
ModelEvaluatorDefaultBase
Tempus::SensitivityModelEvaluatorBase< Scalar >	A ModelEvaluator decorator for sensitivity analysis
Tempus::CombinedForwardSensitivityModelEvaluator< Scalar >	Transform a ModelEvaluator's sensitivity equations to its residual
Tempus::StaggeredForwardSensitivityModelEvaluator< Scalar >	Transform a ModelEvaluator's sensitivity equations to its residual
Tempus::WrapperModelEvaluatorPairIMEX_CombinedFSA< Scalar >	Specialization of IMEX ME for "combined" FSA method
Tempus::WrapperModelEvaluatorPairIMEX_StaggeredFSA< Scalar >	Specialization of IMEX ME for "staggered" FSA method
Tempus::WrapperModelEvaluatorPairPartIMEX_CombinedFSA< Scalar >	Specialization of IMEX-Part ME for "combined" FSA method
Tempus::WrapperModelEvaluatorPairPartIMEX_StaggeredFSA< Scalar >	Specialization of IMEX-Part ME for "combined" FSA method
ParameterListAcceptor
Tempus::Integrator< Scalar >	Thyra Base interface for time integrators. Time integrators are designed to advance the solution from an initial time, , to a final time,
Tempus::Interpolator< Scalar >	Base strategy class for interpolation functionality
Tempus::SolutionHistory< Scalar >	SolutionHistory is basically a container of SolutionStates. SolutionHistory maintains a collection of SolutionStates for later retrival and reuse, such as checkpointing, restart, and undo operations
Tempus::StepperStaggeredForwardSensitivity< Scalar >	A stepper implementing staggered forward sensitivity analysis
Tempus::TimeStepControl< Scalar >	TimeStepControl manages the time step size. There several mechanicisms that effect the time step size and handled with this class:
Tempus::TimeStepControlStrategy< Scalar >	StepControlStrategy class for TimeStepControl
Tempus::TimeStepControlStrategyBasicVS< Scalar >	StepControlStrategy class for TimeStepControl
Tempus::TimeStepControlStrategyComposite< Scalar >	StepControlStrategy class for TimeStepControl
Tempus::TimeStepControlStrategyConstant< Scalar >	StepControlStrategy class for TimeStepControl
Tempus::TimeStepControlStrategyIntegralController< Scalar >	StepControlStrategy class for TimeStepControl
Tempus::TimeStepControlStrategyPID< Scalar >	StepControlStrategy class for TimeStepControl
ParameterListAcceptorDefaultBase
Tempus_Test::HarmonicOscillatorModel< Scalar >	Consider the ODE: $m\ddot{x} + c\dot{x} + kx=f$ where $k \geq 0$ is a constant, is a constant damping parameter, is a constant forcing parameter, and is a constant mass parameter, with initial conditions are: $\begin{eqnarray} x(0) & = & 0\\ \dot{x}(0) & = & 1 \end{eqnarray}$ It is straight-forward to show that the exact solution to this ODE is: $\begin{eqnarray} x(t) & = & t(1+0.5\tilde{f}t), \hspace{3.6cm} if \hspace{0.2cm} k = c = 0 \\ & = & \frac{(\tilde{c}-\tilde{f})}{\tilde{c}^2}(1-e^{-\tilde{c}t}) + \frac{f}{c}t, \hspace{1.9cm} if \hspace{0.2cm} k = 0, c\neq 0 \\ & = & \frac{1}{\sqrt{\tilde{k}}}\sin(\sqrt{\tilde{k}}t) + \frac{f}{k}\left(1-\cos(\sqrt{\tilde{k}}t) \right), \hspace{0.2cm} if \hspace{0.2cm} k > 0, c = 0 \end{eqnarray}$ where $\tilde{c}\equiv c/m$ , $\tilde{k}\equiv k/m$ and $\tilde{f}\equiv f/m$ . While it is possible to derive the solution to this ODE for the case when and $c \neq 0$ , we do not consider that case here. When , , and , our ODE simplies to a canonical differential equation model of a ball thrown up in the air, with a parabolic trajectory solution, namely $x(t) = t(1-0.5t)$ where $t\in [0,2]$ . An EpetraExt version of this simplified version of the test is implemented in Piro::MockModelEval_B (see Trilinos/packages/piro/test), where it is used to test the Piro (EpetraExt) Newmark-Beta scheme (see input_Solver_NB.xml input file). When and , this test is equivalent to the SinCos model.
Tempus_Test::SinCosModel< Scalar >	Sine-Cosine model problem from Rythmos. This is a canonical Sine-Cosine differential equation $\mathbf{\ddot{x}}=-\mathbf{x}$ with a few enhancements. We start with the exact solution to the differential equation $\begin{eqnarray} x_{0}(t) & = & a+b\sin((f/L)t+\phi)\\ x_{1}(t) & = & b(f/L)\cos((f/L)t+\phi) \end{eqnarray}$ then the form of the model is $\begin{eqnarray} \frac{d}{dt}x_{0}(t) & = & x_{1}(t)\\ \frac{d}{dt}x_{1}(t) & = & \left(\frac{f}{L}\right)^{2}(a-x_{0}(t)) \end{eqnarray}$ where the default parameter values are , , and , and the initial conditions $\begin{eqnarray} x_{0}(t_{0}=0) & = & \gamma_{0}[=0]\\ x_{1}(t_{0}=0) & = & \gamma_{1}[=1] \end{eqnarray}$ determine the remaining coefficients $\begin{eqnarray} \phi & = & \arctan(((f/L)/\gamma_{1})(\gamma_{0}-a))-(f/L)t_{0}[=0]\\ b & = & \gamma_{1}/((f/L)cos((f/L)t_{0}+\phi))[=1] \end{eqnarray*}$
Tempus_Test::SteadyQuadraticModel< Scalar >	Simple quadratic equation with a stable steady-state. This is a simple differential equation $\mathbf{\dot{x}}=\mathbf{x}^2 - b^2$ which has steady state solutions $\mathbf{x} = \pm b$ . The solution $\mathbf{x} = b$ is stable if and the solution $\mathbf{x} = -b$ is stable if . This model is used to test pseudo-transient sensitivity analysis methods
Tempus_Test::VanDerPol_IMEX_ExplicitModel< Scalar >	Van der Pol model formulated for IMEX
Tempus_Test::VanDerPol_IMEX_ImplicitModel< Scalar >	Van der Pol model formulated for IMEX-RK
Tempus_Test::VanDerPol_IMEXPart_ImplicitModel< Scalar >	Van der Pol model formulated for the partitioned IMEX-RK
Tempus_Test::VanDerPolModel< Scalar >	Van der Pol model problem for nonlinear electrical circuit
PreconditionerBase
Thyra::AdjointPreconditioner< Scalar >	Concrete `PreconditionerBase` subclass that wraps a preconditioner operator in MultiVectorLinearOp
Thyra::MultiVectorPreconditioner< Scalar >	Concrete `PreconditionerBase` subclass that wraps a preconditioner operator in MultiVectorLinearOp
PreconditionerFactoryBase
Thyra::AdjointPreconditionerFactory< Scalar >	Concrete `PreconditionerFactoryBase` subclass that wraps a preconditioner in AdjointPreconditioner
Thyra::MultiVectorPreconditionerFactory< Scalar >	Concrete `PreconditionerFactoryBase` subclass that wraps a preconditioner in MultiVectorPreconditioner
Thyra::ReusePreconditionerFactory< Scalar >	Concrete `PreconditionerFactoryBase` subclass that just returns an already created/initialized preconditioner object
RowStatLinearOpBase
Thyra::MultiVectorLinearOp< Scalar >	Implicit concrete `LinearOpBase` subclass that takes a flattended out multi-vector and performs a multi-RHS apply with it
ScaledLinearOpBase
Thyra::MultiVectorLinearOp< Scalar >	Implicit concrete `LinearOpBase` subclass that takes a flattended out multi-vector and performs a multi-RHS apply with it
StateFuncModelEvaluatorBase
Tempus::AdjointAuxSensitivityModelEvaluator< Scalar >	ModelEvaluator for forming adjoint sensitivity equations
Tempus::AdjointSensitivityModelEvaluator< Scalar >	ModelEvaluator for forming adjoint sensitivity equations
Tempus::AuxiliaryIntegralModelEvaluator< Scalar >	ModelEvaluator for integrating auxiliary equations
Tempus::CombinedForwardSensitivityModelEvaluator< Scalar >	Transform a ModelEvaluator's sensitivity equations to its residual
Tempus::StaggeredForwardSensitivityModelEvaluator< Scalar >	Transform a ModelEvaluator's sensitivity equations to its residual
Tempus::WrapperModelEvaluator< Scalar >	A ModelEvaluator which wraps the application ModelEvaluator
Tempus::WrapperModelEvaluatorBasic< Scalar >	A ModelEvaluator for residual evaluations given a state. This ModelEvaluator takes a state, x, and determines its residual, , which is suitable for a nonlinear solve. This is accomplished by computing the time derivative of the state, x_dot, (through Lambda functions), supplying the current time, and calling the application application ModelEvaluator, $f(x,\dot{x},t)$
Tempus::WrapperModelEvaluatorPairIMEX< Scalar >	ModelEvaluator pair for implicit and explicit (IMEX) evaluations
Tempus::WrapperModelEvaluatorPairIMEX_Basic< Scalar >	ModelEvaluator pair for implicit and explicit (IMEX) evaulations
Tempus::WrapperModelEvaluatorPairIMEX_CombinedFSA< Scalar >	Specialization of IMEX ME for "combined" FSA method
Tempus::WrapperModelEvaluatorPairIMEX_StaggeredFSA< Scalar >	Specialization of IMEX ME for "staggered" FSA method
Tempus::WrapperModelEvaluatorPairPartIMEX_Basic< Scalar >	ModelEvaluator pair for implicit and explicit (IMEX) evaulations
Tempus::WrapperModelEvaluatorPairPartIMEX_CombinedFSA< Scalar >	Specialization of IMEX-Part ME for "combined" FSA method
Tempus::WrapperModelEvaluatorPairPartIMEX_StaggeredFSA< Scalar >	Specialization of IMEX-Part ME for "combined" FSA method
Tempus::WrapperModelEvaluatorSecondOrder< Scalar >	A ModelEvaluator for residual evaluations given a state. This ModelEvaluator takes a state, x, and determines its residual, , which is suitable for a nonlinear solve. This is accomplished by computing the time derivative of the state, x_dot, (through Lambda functions), supplying the current time, and calling the application application ModelEvaluator, $f(\dot{x},x,t)$
Tempus_Test::CDR_Model< Scalar >	1D CGFEM model for convection/diffusion/reaction
Tempus_Test::HarmonicOscillatorModel< Scalar >	Consider the ODE: $m\ddot{x} + c\dot{x} + kx=f$ where $k \geq 0$ is a constant, is a constant damping parameter, is a constant forcing parameter, and is a constant mass parameter, with initial conditions are: $\begin{eqnarray} x(0) & = & 0\\ \dot{x}(0) & = & 1 \end{eqnarray}$ It is straight-forward to show that the exact solution to this ODE is: $\begin{eqnarray} x(t) & = & t(1+0.5\tilde{f}t), \hspace{3.6cm} if \hspace{0.2cm} k = c = 0 \\ & = & \frac{(\tilde{c}-\tilde{f})}{\tilde{c}^2}(1-e^{-\tilde{c}t}) + \frac{f}{c}t, \hspace{1.9cm} if \hspace{0.2cm} k = 0, c\neq 0 \\ & = & \frac{1}{\sqrt{\tilde{k}}}\sin(\sqrt{\tilde{k}}t) + \frac{f}{k}\left(1-\cos(\sqrt{\tilde{k}}t) \right), \hspace{0.2cm} if \hspace{0.2cm} k > 0, c = 0 \end{eqnarray}$ where $\tilde{c}\equiv c/m$ , $\tilde{k}\equiv k/m$ and $\tilde{f}\equiv f/m$ . While it is possible to derive the solution to this ODE for the case when and $c \neq 0$ , we do not consider that case here. When , , and , our ODE simplies to a canonical differential equation model of a ball thrown up in the air, with a parabolic trajectory solution, namely $x(t) = t(1-0.5t)$ where $t\in [0,2]$ . An EpetraExt version of this simplified version of the test is implemented in Piro::MockModelEval_B (see Trilinos/packages/piro/test), where it is used to test the Piro (EpetraExt) Newmark-Beta scheme (see input_Solver_NB.xml input file). When and , this test is equivalent to the SinCos model.
Tempus_Test::SinCosModel< Scalar >	Sine-Cosine model problem from Rythmos. This is a canonical Sine-Cosine differential equation $\mathbf{\ddot{x}}=-\mathbf{x}$ with a few enhancements. We start with the exact solution to the differential equation $\begin{eqnarray} x_{0}(t) & = & a+b\sin((f/L)t+\phi)\\ x_{1}(t) & = & b(f/L)\cos((f/L)t+\phi) \end{eqnarray}$ then the form of the model is $\begin{eqnarray} \frac{d}{dt}x_{0}(t) & = & x_{1}(t)\\ \frac{d}{dt}x_{1}(t) & = & \left(\frac{f}{L}\right)^{2}(a-x_{0}(t)) \end{eqnarray}$ where the default parameter values are , , and , and the initial conditions $\begin{eqnarray} x_{0}(t_{0}=0) & = & \gamma_{0}[=0]\\ x_{1}(t_{0}=0) & = & \gamma_{1}[=1] \end{eqnarray}$ determine the remaining coefficients $\begin{eqnarray} \phi & = & \arctan(((f/L)/\gamma_{1})(\gamma_{0}-a))-(f/L)t_{0}[=0]\\ b & = & \gamma_{1}/((f/L)cos((f/L)t_{0}+\phi))[=1] \end{eqnarray*}$
Tempus_Test::SteadyQuadraticModel< Scalar >	Simple quadratic equation with a stable steady-state. This is a simple differential equation $\mathbf{\dot{x}}=\mathbf{x}^2 - b^2$ which has steady state solutions $\mathbf{x} = \pm b$ . The solution $\mathbf{x} = b$ is stable if and the solution $\mathbf{x} = -b$ is stable if . This model is used to test pseudo-transient sensitivity analysis methods
Tempus_Test::VanDerPol_IMEX_ExplicitModel< Scalar >	Van der Pol model formulated for IMEX
Tempus_Test::VanDerPol_IMEX_ImplicitModel< Scalar >	Van der Pol model formulated for IMEX-RK
Tempus_Test::VanDerPol_IMEXPart_ImplicitModel< Scalar >	Van der Pol model formulated for the partitioned IMEX-RK
Tempus_Test::VanDerPolModel< Scalar >	Van der Pol model problem for nonlinear electrical circuit
Tempus::StepperFactory< Scalar >	Stepper factory
Tempus::StepperObserver< Scalar >	StepperObserver class for Stepper class
Tempus::StepperBackwardEulerObserver< Scalar >	StepperBackwardEulerObserver class for StepperBackwardEuler
Tempus::StepperBDF2Observer< Scalar >	StepperBDF2Observer class for StepperBDF2
Tempus::StepperForwardEulerObserver< Scalar >	StepperForwardEulerObserver class for StepperForwardEuler
Tempus::StepperLeapfrogObserver< Scalar >	StepperLeapfrogObserver class for StepperLeapfrog
Tempus::StepperObserverBasic< Scalar >	StepperObserverBasic class for Stepper class
Tempus::StepperObserverComposite< Scalar >	This observer is a composite observer,
Tempus::StepperOperatorSplitObserver< Scalar >	StepperOperatorSplitObserver class for StepperOperatorSplit
Tempus::StepperRKObserver< Scalar >	StepperRKObserver class for StepperRK
Tempus::StepperRKObserverComposite< Scalar >	This observer is a composite observer,
Tempus::StepperRKObserverLogging< Scalar >	This observer logs calls to observer functions. This observer simply logs and counts the calls to each of the observer functions. This is useful in monirtoring and debugging the time integration
Tempus::StepperSubcyclingObserver< Scalar >	StepperSubcyclingObserver class for StepperSubcycling
Tempus::StepperTrapezoidalObserver< Scalar >	StepperTrapezoidalObserver class for StepperTrapezoidal
Tempus::StepperOptimizationInterface< Scalar >	Stepper interface to support full-space optimization
Tempus::StepperBackwardEuler< Scalar >	Backward Euler time stepper
Tempus::TimeDerivative< Scalar >	This interface defines the time derivative connection between an implicit Stepper and WrapperModelEvaluator
Tempus::StepperBackwardEulerTimeDerivative< Scalar >	Time-derivative interface for Backward Euler
Tempus::StepperBDF2TimeDerivative< Scalar >	Time-derivative interface for BDF2
Tempus::StepperDIRKTimeDerivative< Scalar >	Time-derivative interface for DIRK
Tempus::StepperIMEX_RKPartTimeDerivative< Scalar >	Time-derivative interface for Partitioned IMEX RK
Tempus::StepperIMEX_RKTimeDerivative< Scalar >	Time-derivative interface for IMEX RK
Tempus::StepperTrapezoidalTimeDerivative< Scalar >	Time-derivative interface for Trapezoidal method
VerboseObject
Tempus::Integrator< Scalar >	Thyra Base interface for time integrators. Time integrators are designed to advance the solution from an initial time, , to a final time,
Tempus::Interpolator< Scalar >	Base strategy class for interpolation functionality
Tempus::PhysicsState< Scalar >	PhysicsState is a simple class to hold information about the physics
Tempus::RKButcherTableau< Scalar >	Runge-Kutta methods
Tempus::SolutionHistory< Scalar >	SolutionHistory is basically a container of SolutionStates. SolutionHistory maintains a collection of SolutionStates for later retrival and reuse, such as checkpointing, restart, and undo operations
Tempus::SolutionState< Scalar >	Solution state for integrators and steppers. SolutionState contains the metadata for solutions and the solutions themselves
Tempus::SolutionStateMetaData< Scalar >	Solution state meta data
Tempus::Stepper< Scalar >	Thyra Base interface for time steppers
Tempus::StepperState< Scalar >	StepperState is a simple class to hold state information about the stepper
Tempus::TimeStepControl< Scalar >	TimeStepControl manages the time step size. There several mechanicisms that effect the time step size and handled with this class: