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bundles / scipy 1.17.1 / scipy / interpolate / _fitpack_repro

module

scipy.interpolate._fitpack_repro

source: /scipy/interpolate/_fitpack_repro.py :0

Members

Summary

Replicate FITPACK's logic for constructing smoothing spline functions and curves.

Extended Summary

Currently provides analogs of splrep and splprep python routines, i.e. curfit.f and parcur.f routines (the drivers are fpcurf.f and fppara.f, respectively)

The Fortran sources are from https://github.com/scipy/scipy/blob/maintenance/1.11.x/scipy/interpolate/fitpack/

[1]

parametric splines, Computer Graphics and Image Processing", 20 (1982) 171-184. 10.1016/0146-664X(82)90043-0.

[2]

Numerical Analysis, Oxford University Press, 1993.

[3]

of experimental data using spline functions", Journal of Computational and Applied Mathematics, vol. I, no 3, p. 165 (1975). https://doi.org/10.1016/0771-050X(75)90034-0

Additional content

Replicate FITPACK's logic for constructing smoothing spline functions and curves.

Currently provides analogs of splrep and splprep python routines, i.e. curfit.f and parcur.f routines (the drivers are fpcurf.f and fppara.f, respectively)

The Fortran sources are from https://github.com/scipy/scipy/blob/maintenance/1.11.x/scipy/interpolate/fitpack/

[1]

parametric splines, Computer Graphics and Image Processing", 20 (1982) 171-184. 10.1016/0146-664X(82)90043-0.

[2]

Numerical Analysis, Oxford University Press, 1993.

[3]

of experimental data using spline functions", Journal of Computational and Applied Mathematics, vol. I, no 3, p. 165 (1975). https://doi.org/10.1016/0771-050X(75)90034-0

Aliases

  • scipy.interpolate._fitpack_repro