finitediff | Finite difference weights for any derivative order | Math library

by bjodah Python Version: 0.6.4 License: BSD-2-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | finitediff Summary

finitediff is a Python library typically used in Utilities, Math applications. finitediff has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install finitediff' or download it from GitHub, PyPI.

Finite difference weights for any derivative order on arbitrarily spaced grids. C89, C++ and Fortran 90 implementations with Python bindings.

Support

Quality

Security

License

Reuse

Support

finitediff has a low active ecosystem.

It has 22 star(s) with 3 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 408 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of finitediff is 0.6.4

Quality

finitediff has 0 bugs and 0 code smells.

Security

finitediff has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

finitediff code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

finitediff is licensed under the BSD-2-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

finitediff releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 754 lines of code, 42 functions and 24 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed finitediff and discovered the below as its top functions. This is intended to give you an instant insight into finitediff implemented functionality, and help decide if they suit your requirements.

Plot the convergence
Refine a grid using a function
Interpolate forward along axis
Generate an adapted grid
Generate a mask for a grid pruning
Calculate the difference between x
Combine a set of grids
Generate a pre - pruning mask
Generate a summary of the error distribution
Rebalanced grid
Calculate the error of a grid
Write coverage badge
Extract the coverage number from the index
Returns the path under setup

Get all kandi verified functions for this library.

finitediff Key Features

No Key Features are available at this moment for finitediff.

finitediff Examples and Code Snippets

No Code Snippets are available at this moment for finitediff.

Community Discussions

Trending Discussions on finitediff

How do I implement the termination of an ODE solution based on an event in Julia? Why am I getting a BoundsError?

QUESTION

How do I implement the termination of an ODE solution based on an event in Julia? Why am I getting a BoundsError?

Asked 2020-Apr-20 at 12:08

I am trying to solve a coupled ODE using the DifferentialEquations package in Julia, and trying to implement a Continuous Callback to check when a certain variable becomes small enough, so I can terminate the integration. The functions xdot, ddot are defined earlier, and this is working fine without the cb = callback argument.

...

ANSWER

Answered 2020-Apr-20 at 12:08

function w_enough(t,v,integrator)
    w(v[1],v[2]) - 0.0001
end

Source https://stackoverflow.com/questions/61320906

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install finitediff

You can install using 'pip install finitediff' or download it from GitHub, PyPI.
You can use finitediff like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: