SciML/OrdinaryDiffEq.jl

Higher order derivatives for interpolations

Open

#427 opened on Jul 11, 2018

View on GitHub
 (0 comments) (0 reactions) (0 assignees)Julia (656 stars) (262 forks)batch import
Hacktoberfesteasyenhancementhelp wanted

Description

The interpolating polynomials can be directly differentiated and the derivative functions can be added. See the current examples where we have not-comprehensively added derivatives as necessary, but if someone went through and added them all it would be helpful!

Contributor guide

Tech stack
None
Domain
backend
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
over 1 week
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
unclear
Prerequisites
familiarity with Juliaunderstanding of ODE solversbasic calculus
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
15
Research direction
First, examine the current interpolation implementations in OrdinaryDiffEq.jl to identify which derivative functions are already provided. Then, derive analytical expressions for higher order derivatives of the interpolation polynomials and implement them, following the pattern of existing derivative functions. Consult the maintainers via the issue to clarify the desired scope and any preferred implementation details.