Software library for the calculation of multidimensional cubic splines
Calculates spline coefficients and interpolated data values in 1D to 3D.
Homepage: github.com/gpufit/Gpuspline
The latest Gpuspline binary release, supporting Windows 32-bit and 64-bit machines, can be found on the release page.
Documentation for the Spline analysis library may be found online (latest documentation, and also as a PDF file in the binary distribution of Spline analysis.
Instructions for building Gpuspline are found in the documentation: Building from source code.
Examples for using Gpuspline in Matlab and Python are in the examples folder. Examples using splines to perform fitting are located in the examples section of Gpufit.
Gpuspline was created by Adrian Przybylski, Jan Keller-Findeisen and Mark Bates at the Max Planck Institute for Biophysical Chemistry, in Göttingen, Germany.
MIT License
Copyright (c) 2021 Adrian Przybylski, Jan Keller-Findeisen and Mark Bates
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.