finufft | Non-uniform fast Fourier transform library of types 1,2,3 in dimensions 1,2,3

by flatironinstitute C++ Version: 2.2.0b0 License: Non-SPDX

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kandi X-RAY | finufft Summary

finufft is a C++ library. finufft has no bugs, it has no vulnerabilities and it has low support. However finufft has a Non-SPDX License. You can download it from GitHub.

Principal author Alex H. Barnett, main co-developers Jeremy F. Magland, Ludvig af Klinteberg, Yu-hsuan "Melody" Shih, Andrea Malleo, Libin Lu, and Joakim Andén; see docs/ackn.rst for full list of contributors. . This is a lightweight library to compute the three standard types of nonuniform FFT to a specified precision, in one, two, or three dimensions. It is written in C++ with interfaces to C, Fortran, MATLAB/octave, Python, and (in a separate repository) Julia. Please see the online documentation, or its local PDF equivalent, the user manual. You will also want to see example codes in the directories examples, test, fortran, matlab/test, and python/test. If you cannot compile, or pip install, try our precompiled binaries.

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finufft has a low active ecosystem.

It has 189 star(s) with 53 fork(s). There are 8 watchers for this library.

There were 2 major release(s) in the last 6 months.

There are 21 open issues and 150 have been closed. On average issues are closed in 198 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of finufft is 2.2.0b0

Quality

finufft has 0 bugs and 0 code smells.

Security

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

finufft code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

finufft has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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finufft releases are available to install and integrate.

It has 1652 lines of code, 40 functions and 21 files.

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

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finufft Key Features

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finufft Examples and Code Snippets

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Community Discussions

Trending Discussions on finufft

No matching function for call to 'as' in Rcpp

QUESTION

No matching function for call to 'as' in Rcpp

Asked 2019-Jun-20 at 08:02

I'm trying to write an R wrapper for the FINUFFT routines for calculating the FFT of an unevenly sampled series. I have virtually no experience with C/C++, so I'm working from an example that compares the traditional Fourier transform to the NUFFT. The example code follows.

...

ANSWER

Answered 2019-Jun-20 at 08:02

Rcpp::as converts from an R data type (SEXP) to a C++ data type, e.g. Rcpp::ComplexVector. This does not fit your situation, where you try to convert from a C-style array to C++. Fortunately Rcpp::Vector, which is the basis for Rcpp::ComplexVector, has a constructor for this task: Vector (InputIterator first, InputIterator last). For the other direction (going from C++ to C-style array) you can use vector.begin() or &vector[0].

However, one needs a reinterpret_cast to convert between Rcomplex* and std::complex*. That should cause no problems, though, since Rcomplex (a.k.a. complex double in C) and std::complex are compatible.

A minimal example:

Source https://stackoverflow.com/questions/56675308

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You can download it from GitHub.

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