Developer Reference

  • 0.9
  • 09/09/2020
  • Public Content
Contents

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:
Data Fitting 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 is
    NULL
    .
  • 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.

Product and Performance Information

1

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