Comments (10)
The RL function is for calculating the RL derivative at every point on a function's domain. You pass in an array of function values and get an array of fractional derivatives back.
The 'RLpoint' function is for calculating the RL derivative at a specific point. You can pass in the point as the 'domain_end' parameter.
Please let me know how this goes!
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It looks like you've found an oversight in the code. I'll have to revisit this after I review Diethelm et al, since it's been a long time since I wrote this.
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I've compared the result given by your code snippet with the expected result given by
Note, this is the theoretical result when the left endpoint is 0. For exponential functions, generally a left endpoint of negative infinity is used. But in any case, this is a comparison of the results:
In the case where the left endpoint decreases to -100, the result becomes
Which is likely closer to what you're expecting.
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thanks Cooper!
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it’d be good if a couple examples of this usage could be given on the project main page, this would be confusing to a new user … ie. setting the endpoint correctly on some common function
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Hi shaunster0,
A github wiki page has been made for this repo here please let me know if that is helpful, or what you think could be improved!
And just a note WRT the wiki, the Caputo methods are only available on a fork currently, not on the main package.
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Tomorrow I will update the readme with more examples though, you're right.
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thanks, appreciate what ure doing here, this project needed a makeover … it was amazing to me that there was no good quality python library for fractional derivatives
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Related Issues (8)
- How to carry out a fractional derivative for 2 d data source HOT 1
- PCsolver module not found error HOT 1
- How to use Lorenz system (3 equations) by using PCsolver HOT 1
- How to Cite? HOT 2
- Show singularities at endpoints HOT 1
- Is differint is applicable to neural network? HOT 1
- Caputo Fractional Derivative - reg
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