fdce
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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.
x_0 does not have to be one of the grid points.x_0, by using the coefficients of the derivative of order zero.M order derivative approximation the coefficients needed to
estimate the derivative at any order from zero to M are calculated.FAQs
Finite difference coefficient estimator
We found that fdce demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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