Python implementation of the algorithm presented in:
Fornberg, B. (1988). Generation of finite difference formulas on arbitrarily spaced grids. Mathematics of computation, 51(184), 699-706.
This algorithm can estimate the coefficients of the finite difference formula used to estimate any derivative of an unidimensional function at a point x_0 given a grid of points (mostly neighbors of x_0). The accuracy level is determined by the number of grid points used in each estimation.
Highlights
Grid points do not have to be equally spaced.
x_0 does not have to be one of the grid points.
As a result of 2., the algorithm can also be used to interpolate a function at a point x_0, by using the coefficients of the derivative of order zero.
In a single M order derivative approximation the coefficients needed to estimate the derivative at any order from zero to M are calculated.
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Release files for fdce 0.1.1
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Release files / fdce-0.1.1-cp310-cp310-win_amd64.whl
| Download URL | fdce-0.1.1-cp310-cp310-win_amd64.whl |
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| Size | 12.9 kB |
| Tags | CPython 3.10 Windows x86-64 |
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| Download URL | fdce-0.1.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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Release files / fdce-0.1.1-cp39-cp39-win_amd64.whl
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| Download URL | fdce-0.1.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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Release files / fdce-0.1.1-cp38-cp38-win_amd64.whl
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| Download URL | fdce-0.1.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Download URL | fdce-0.1.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl |
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| Size | 24.1 kB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-32 Linux glibc 2.5+ x86-32 |
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