petsc-3.7.7 2017-09-25
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pseudo-timestepping
Solves the time independent Bratu problem using pseudo-timestepping.
pseudo-timestepping
Solves the time dependent Bratu problem using pseudo-timestepping
nonlinear problems
Solves the time independent Bratu problem using pseudo-timestepping.
nonlinear problems
Solves the time dependent Bratu problem using pseudo-timestepping
time-dependent nonlinear problems
Solves the van der Pol equation.
Input parameters include:
-mu : stiffness parameter
time-dependent nonlinear problems
Performs adjoint sensitivity analysis for the van der Pol equation.
Input parameters include:
-mu : stiffness parameter
time-dependent nonlinear problems
Solves an ODE-constrained optimization problem -- finding the optimal initial conditions for the van der Pol equation.
Input parameters include:
-mu : stiffness parameter
time-dependent nonlinear problems
Solves an ODE-constrained optimization problem -- finding the optimal stiffness parameter for the van der Pol equation.
Input parameters include:
-mu : stiffness parameter
time-dependent nonlinear problems
Solves the van der Pol DAE.
Input parameters include:
time-dependent nonlinear problems
Solves a time-dependent nonlinear PDE. Uses implicit
timestepping. Runtime options include:
-M <xg>, where <xg> = number of grid points
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
time-dependent nonlinear problems
Solves the van der Pol equation.
Input parameters include:
time-dependent nonlinear problems
Performs adjoint sensitivity analysis for the van der Pol equation.
time-dependent nonlinear problems
Solves a DAE-constrained optimization problem -- finding the optimal initial conditions for the van der Pol equation.
time-dependent nonlinear problems
Solves the van der Pol equation.
Input parameters include:
time-dependent nonlinear problems
Solves a time-dependent nonlinear PDE with lower and upper bounds on the interior grid points. Uses implicit
timestepping. Runtime options include:
-M <xg>, where <xg> = number of grid points
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
-ul : lower bound
-uh : upper bound
time-dependent linear problems
Solves a simple time-dependent linear PDE (the heat equation).
Input parameters include:
-m <points>, where <points> = number of grid points
-time_dependent_rhs : Treat the problem as having a time-dependent right-hand side
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
time-dependent linear problems
Solves a simple time-dependent linear PDE (the heat equation).
Input parameters include:
-m <points>, where <points> = number of grid points
-time_dependent_rhs : Treat the problem as having a time-dependent right-hand side
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
time-dependent linear problems
Solves a simple time-dependent linear PDE (the heat equation).
Input parameters include:
-m <points>, where <points> = number of grid points
-time_dependent_rhs : Treat the problem as having a time-dependent right-hand side
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
time-dependent linear problems
Solves a simple time-dependent linear PDE (the heat equation).
Input parameters include:
-m <points>, where <points> = number of grid points
-time_dependent_rhs : Treat the problem as having a time-dependent right-hand side
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
heat equation
Solves a simple time-dependent linear PDE (the heat equation).
Input parameters include:
-m <points>, where <points> = number of grid points
-time_dependent_rhs : Treat the problem as having a time-dependent right-hand side
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
heat equation
Solves a simple time-dependent linear PDE (the heat equation).
Input parameters include:
-m <points>, where <points> = number of grid points
-time_dependent_rhs : Treat the problem as having a time-dependent right-hand side
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
heat equation
Solves a simple time-dependent linear PDE (the heat equation).
Input parameters include:
-m <points>, where <points> = number of grid points
-time_dependent_rhs : Treat the problem as having a time-dependent right-hand side
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
heat equation
Solves a simple time-dependent linear PDE (the heat equation).
Input parameters include:
-m <points>, where <points> = number of grid points
-time_dependent_rhs : Treat the problem as having a time-dependent right-hand side
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
diffusion equation
Solves a simple time-dependent linear PDE (the heat equation).
Input parameters include:
-m <points>, where <points> = number of grid points
-time_dependent_rhs : Treat the problem as having a time-dependent right-hand side
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
diffusion equation
Solves a simple time-dependent linear PDE (the heat equation).
Input parameters include:
-m <points>, where <points> = number of grid points
-time_dependent_rhs : Treat the problem as having a time-dependent right-hand side
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
diffusion equation
Solves a simple time-dependent linear PDE (the heat equation).
Input parameters include:
-m <points>, where <points> = number of grid points
-time_dependent_rhs : Treat the problem as having a time-dependent right-hand side
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
diffusion equation
Solves a simple time-dependent linear PDE (the heat equation).
Input parameters include:
-m <points>, where <points> = number of grid points
-time_dependent_rhs : Treat the problem as having a time-dependent right-hand side
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
van der Pol equation
Solves the van der Pol equation.
Input parameters include:
-mu : stiffness parameter
van der Pol equation
Performs adjoint sensitivity analysis for the van der Pol equation.
Input parameters include:
-mu : stiffness parameter
van der Pol equation
Solves an ODE-constrained optimization problem -- finding the optimal initial conditions for the van der Pol equation.
Input parameters include:
-mu : stiffness parameter
van der Pol equation
Solves an ODE-constrained optimization problem -- finding the optimal stiffness parameter for the van der Pol equation.
Input parameters include:
-mu : stiffness parameter
van der Pol DAE
Solves the van der Pol DAE.
Input parameters include:
van der Pol equation DAE equivalent
Solves the van der Pol equation.
Input parameters include:
van der Pol equation DAE equivalent
Performs adjoint sensitivity analysis for the van der Pol equation.
van der Pol equation DAE equivalent
Solves a DAE-constrained optimization problem -- finding the optimal initial conditions for the van der Pol equation.
van der Pol equation DAE equivalent
Solves the van der Pol equation.
Input parameters include:
Variational inequality nonlinear solver
Solves a time-dependent nonlinear PDE with lower and upper bounds on the interior grid points. Uses implicit
timestepping. Runtime options include:
-M <xg>, where <xg> = number of grid points
-debug : Activate debugging printouts
-nox : Deactivate x-window graphics
-ul : lower bound
-uh : upper bound
solving a system of nonlinear equations (parallel multicomponent example);
Transient nonlinear driven cavity in 2d.
The 2D driven cavity problem is solved in a velocity-vorticity formulation.
The flow can be driven with the lid or with bouyancy or both:
-lidvelocity <lid>, where <lid> = dimensionless velocity of lid
-grashof <gr>, where <gr> = dimensionless temperature gradent
-prandtl <pr>, where <pr> = dimensionless thermal/momentum diffusity ratio
-contours : draw contour plots of solution
multicomponent
Transient nonlinear driven cavity in 2d.
The 2D driven cavity problem is solved in a velocity-vorticity formulation.
The flow can be driven with the lid or with bouyancy or both:
-lidvelocity <lid>, where <lid> = dimensionless velocity of lid
-grashof <gr>, where <gr> = dimensionless temperature gradent
-prandtl <pr>, where <pr> = dimensionless thermal/momentum diffusity ratio
-contours : draw contour plots of solution
differential-algebraic equation
Transient nonlinear driven cavity in 2d.
The 2D driven cavity problem is solved in a velocity-vorticity formulation.
The flow can be driven with the lid or with bouyancy or both:
-lidvelocity <lid>, where <lid> = dimensionless velocity of lid
-grashof <gr>, where <gr> = dimensionless temperature gradent
-prandtl <pr>, where <pr> = dimensionless thermal/momentum diffusity ratio
-contours : draw contour plots of solution
ex31.c
Solves the ordinary differential equations (IVPs) using explicit and implicit time-integration methods.
adjoint sensitivity analysis
Performs adjoint sensitivity analysis for the van der Pol equation.
Input parameters include:
-mu : stiffness parameter
adjoint sensitivity analysis
Performs adjoint sensitivity analysis for the van der Pol equation.