# 2.4.2. A skeleton of the user’s main program

The following is a skeleton of the user’s main program (or calling program) for the integration of an ODE IVP using ARKODE. Most of the steps are independent of the NVECTOR, SUNMATRIX, SUNLINSOL and SUNNONLINSOL implementations used. For the steps that are not, refer to §8, §9, §10, and §11 for the specific name of the function to be called or macro to be referenced.

Initialize parallel or multi-threaded environment, if appropriate.

For example, call

`MPI_Init`

to initialize MPI if used, or set`num_threads`

, the number of threads to use within the threaded vector functions, if used.Create the SUNDIALS simulation context object.

Call

`SUNContext_Create()`

to allocate the`SUNContext`

object.Set problem dimensions, etc.

This generally includes the problem size,

`N`

, and may include the local vector length`Nlocal`

.Note

The variables

`N`

and`Nlocal`

should be of type`sunindextype`

.Set vector of initial values

To set the vector

`y0`

of initial values, use the appropriate functions defined by the particular NVECTOR implementation.For native SUNDIALS vector implementations (except the CUDA and RAJA based ones), use a call of the form

y0 = N_VMake_***(..., ydata);

if the

`sunrealtype`

array`ydata`

containing the initial values of \(y\) already exists. Otherwise, create a new vector by making a call of the formy0 = N_VNew_***(...);

and then set its elements by accessing the underlying data where it is located with a call of the form

ydata = N_VGetArrayPointer_***(y0);

For details on each of SUNDIALS’ provided vector implementations, see the corresponding sections in §8 for details.

Create ARKODE object

Call a stepper-specific constructor,

`arkode_mem = *StepCreate(...)`

, to create the ARKODE memory block. These routines return a`void*`

pointer to this memory structure. See §2.4.7.1.1, §2.4.8.1.1, §2.4.10.2.1, or §2.4.9.1.1 for details.Specify integration tolerances

Call

`ARKodeSStolerances()`

or`ARKodeSVtolerances()`

to specify either a scalar relative tolerance and scalar absolute tolerance, or a scalar relative tolerance and a vector of absolute tolerances, respectively. Alternatively, call`ARKodeWFtolerances()`

to specify a function which sets directly the weights used in evaluating WRMS vector norms. See §2.4.3.2 for details.If a problem with non-identity mass matrix is used, and the solution units differ considerably from the equation units, absolute tolerances for the equation residuals (nonlinear and linear) may be specified separately through calls to

`ARKodeResStolerance()`

,`ARKodeResVtolerance()`

, or`ARKodeResFtolerance()`

.Create matrix object

If a nonlinear solver requiring a linear solver will be used (e.g., a Newton iteration) and the linear solver will be a matrix-based linear solver, then a template Jacobian matrix must be created by using the appropriate functions defined by the particular SUNMATRIX implementation.

For the SUNDIALS-supplied SUNMATRIX implementations, the matrix object may be created using a call of the form

SUNMatrix A = SUNBandMatrix(..., sunctx);

or similar for the other matrix modules (see §9 for further information).

Similarly, if the problem involves a non-identity mass matrix, and the mass-matrix linear systems will be solved using a direct linear solver, then a template mass matrix must be created by using the appropriate functions defined by the particular SUNMATRIX implementation.

Create linear solver object

If a nonlinear solver requiring a linear solver will be used (e.g., a Newton iteration), or if the problem involves a non-identity mass matrix, then the desired linear solver object(s) must be created by using the appropriate functions defined by the particular SUNLINSOL implementation.

For any of the SUNDIALS-supplied SUNLINSOL implementations, the linear solver object may be created using a call of the form

SUNLinearSolver LS = SUNLinSol_*(...);

where

`*`

can be replaced with “Dense”, “SPGMR”, or other options, as discussed in §10.Set linear solver optional inputs

Call

`*Set*`

functions from the selected linear solver module to change optional inputs specific to that linear solver. See the documentation for each SUNLINSOL module in §10 for details.Attach linear solver module

If a linear solver was created above for implicit stage solves, initialize the ARKLS linear solver interface by attaching the linear solver object (and Jacobian matrix object, if applicable) with the call (for details see §2.4.3.3):

ier = ARKodeSetLinearSolver(...);

Similarly, if the problem involves a non-identity mass matrix, initialize the ARKLS mass matrix linear solver interface by attaching the mass linear solver object (and mass matrix object, if applicable) with the call (for details see §2.4.3.3):

ier = ARKodeSetMassLinearSolver(...);

Create nonlinear solver object

If the problem involves an implicit component, and if a non-default nonlinear solver object will be used for implicit stage solves (see §2.4.3.5), then the desired nonlinear solver object must be created by using the appropriate functions defined by the particular SUNNONLINSOL implementation (e.g.,

`NLS = SUNNonlinSol_***(...);`

where`***`

is the name of the nonlinear solver (see §11 for details).For the SUNDIALS-supplied SUNNONLINSOL implementations, the nonlinear solver object may be created using a call of the form

SUNNonlinearSolver NLS = SUNNonlinSol_*(...);

where

`*`

can be replaced with “Newton”, “FixedPoint”, or other options, as discussed in §11.Attach nonlinear solver module

If a nonlinear solver object was created above, then it must be attached to ARKODE using the call (for details see §2.4.3.5):

ier = ARKodeSetNonlinearSolver(...);

Set nonlinear solver optional inputs

Call the appropriate set functions for the selected nonlinear solver module to change optional inputs specific to that nonlinear solver. These

*must*be called after attaching the nonlinear solver to ARKODE, otherwise the optional inputs will be overridden by ARKODE defaults. See §11 for more information on optional inputs.Set optional inputs

Call

`ARKodeSet*`

functions to change any optional inputs that control the behavior of ARKODE from their default values. See §2.4.3.8 for details.Additionally, call

`*StepSet*`

routines to change any stepper-specific optional inputs from their default values. See §2.4.7.1.8, §2.4.8.1.5, §2.4.10.2.7, or §2.4.9.1.4 for details.Specify rootfinding problem

Optionally, call

`ARKodeRootInit()`

to initialize a rootfinding problem to be solved during the integration of the ODE system. See §2.4.3.6 for general details, and §2.4.3.8 for relevant optional input calls.Advance solution in time

For each point at which output is desired, call

ier = ARKodeEvolve(arkode_mem, tout, yout, &tret, itask);

Here,

`itask`

specifies the return mode. The vector`yout`

(which can be the same as the vector`y0`

above) will contain \(y(t_\text{out})\). See §2.4.3.7 for details.Get optional outputs

Call

`ARKodeGet*`

functions to obtain optional output. See §2.4.3.10 for details.Additionally, call

`*StepGet*`

routines to retrieve any stepper-specific optional outputs. See §2.4.7.1.10, §2.4.8.1.7, §2.4.10.2.9, or §2.4.9.1.6 for details.Deallocate memory for solution vector

Upon completion of the integration, deallocate memory for the vector

`y`

(or`yout`

) by calling the destructor function:N_VDestroy(y);

Free solver memory

Call

`ARKodeFree()`

to free the memory allocated for the ARKODE module (and any nonlinear solver module).Free linear solver and matrix memory

Call

`SUNLinSolFree()`

and (possibly)`SUNMatDestroy()`

to free any memory allocated for the linear solver and matrix objects created above.Free nonlinear solver memory

If a user-supplied

`SUNNonlinearSolver`

was provided to ARKODE, then call`SUNNonlinSolFree()`

to free any memory allocated for the nonlinear solver object created above.Free the SUNContext object

Call

`SUNContext_Free()`

to free the memory allocated for the`SUNContext`

object.Finalize MPI, if used

Call

`MPI_Finalize`

to terminate MPI.