Developer Reference

Contents

Data Fitting Functions

Data Fitting functions in
Intel® MKL
provide spline-based interpolation capabilities that you can use to approximate functions, function derivatives or integrals, and perform cell search operations.
The Data Fitting component is task based. The task is a data structure or descriptor that holds the parameters related to a specific Data Fitting operation. You can modify the task parameters using the task editing functionality of the library.
For definition of the implemented operations, see Mathematical Conventions .
Data Fitting routines use the following workflow to process a task:
  1. Create a task or multiple tasks.
  2. Modify the task parameters.
  3. Perform a Data Fitting computation.
  4. Destroy the task or tasks.
All Data Fitting functions fall into the following categories:
Task Creation and Initialization Routines - routines that create a new Data Fitting task descriptor and initialize the most common parameters, such as partition of the interpolation interval, values of the vector-valued function, and the parameters describing their structure.
Task Configuration Routines - routines that set, modify, or query parameters in an existing Data Fitting task.
Computational Routines - routines that perform Data Fitting computations, such as construction of a spline, interpolation, computation of derivatives and integrals, and search.
Task Destructors - routines that delete Data Fitting task descriptors and deallocate resources.
You can access the Data Fitting routines through the Fortran and C89/C99 language interfaces. You can also use the C89 interface with more recent versions of C/C++, or the Fortran 90 interface with programs written in Fortran 95.
The
${MKL}/include
directory of the
Intel® MKL
contains the following Data Fitting header files:
  • mkl_df.h
You can find examples that demonstrate usage of Data Fitting routines in
the
${MKL}/examples/datafittingc
directory
.

Product and Performance Information

1

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