Data Fitting Computational Routines
Data Fitting computational routines are functions
used to perform spline-based computations, such as:
- spline construction
- computation of values, derivatives, and integrals of the predefined order
- cell search
Once you create a Data Fitting task and initialize
the required parameters, you can call computational routines as many times as
necessary.
The table below lists the available computational
routines:
Routine
| Description
|
|---|---|
Constructs a spline for a one-dimensional Data
Fitting task.
| |
Computes spline values and derivatives.
| |
Computes spline values and derivatives by
calling user-provided interpolants.
| |
Computes spline-based integrals.
| |
Computes spline-based integrals by calling
user-provided integrators.
| |
Finds indices of cells containing
interpolation sites.
| |
Finds indices of cells containing
interpolation sites by calling user-provided cell searchers.
|
If a Data Fitting computation completes successfully,
the computational routines return the
DF_STATUS_OK
code. If an error
occurs, the routines return an error code specifying the origin of the failure.
Some possible errors are the following:
- The task pointer isNULL.
- Memory allocation failed.
- The computation failed for another reason.
For the list of available status codes, see
"Task Status and Error
Reporting".
Data Fitting computational routines do not control
errors for floating-point conditions, such as overflow, gradual underflow, or
operations with Not a Number (NaN) values.