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See

https://web.archive.org/web/20010524124604/http://www.cs.kuleuven.ac.be:80/cwis/research/nalag/research/topics/fitpack.html

or

http://www.netlib.org/dierckx/

Copyright 2002 Pearu Peterson all rights reserved, Pearu Peterson <pearu@cens.ioc.ee> Permission to use, modify, and distribute this software is given under the terms of the SciPy (BSD style) license. See LICENSE.txt that came with this distribution for specifics.

NO WARRANTY IS EXPRESSED OR IMPLIED. USE AT YOUR OWN RISK.

TODO: Make interfaces to the following fitpack functions:

For univariate splines: cocosp, concon, fourco, insert For bivariate splines: profil, regrid, parsur, surev

fitpack (dierckx in netlib) --- A Python-C wrapper to FITPACK (by P. Dierckx).

FITPACK is a collection of FORTRAN programs for curve and surface fitting with splines and tensor product splines.

fitpack (dierckx in netlib) --- A Python-C wrapper to FITPACK (by P. Dierckx).

FITPACK is a collection of FORTRAN programs for curve and surface fitting with splines and tensor product splines.

See

https://web.archive.org/web/20010524124604/http://www.cs.kuleuven.ac.be:80/cwis/research/nalag/research/topics/fitpack.html

or

http://www.netlib.org/dierckx/

Copyright 2002 Pearu Peterson all rights reserved, Pearu Peterson <pearu@cens.ioc.ee> Permission to use, modify, and distribute this software is given under the terms of the SciPy (BSD style) license. See LICENSE.txt that came with this distribution for specifics.

NO WARRANTY IS EXPRESSED OR IMPLIED. USE AT YOUR OWN RISK.

TODO: Make interfaces to the following fitpack functions:

For univariate splines: cocosp, concon, fourco, insert For bivariate splines: profil, regrid, parsur, surev

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /scipy/interpolate/_fitpack_impl.py#0
type: <class 'module'>
Commit: