Developer Reference for Intel® oneAPI Math Kernel Library for C

ID 766684
Date 12/16/2022
Public

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Data Fitting Usage Model

Consider an algorithm that uses the Data Fitting functions. Typically, such algorithms consist of four steps or stages:

  1. Create a task. You can call the Data Fitting function several times to create multiple tasks.

    status = dfdNewTask1D( &task, nx, x, xhint, ny, y, yhint );

  2. Modify the task parameters.

    status = dfdEditPPSpline1D( task, s_order, c_type, bc_type, bc, ic_type, ic, scoeff, scoeffhint );

  3. Perform Data Fitting spline-based computations. You may reiterate steps 2-3 as needed.

    status = dfdInterpolate1D(task, estimate, method, nsite, site, sitehint, ndorder, dorder, datahint, r, rhint, cell );

  4. Destroy the task or tasks.

    status = dfDeleteTask( &task );