fortran-lang.org
BoundaryValueDiffEq.jl
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| fortran-lang.org | BoundaryValueDiffEq.jl | |
|---|---|---|
| 16 | 1 | |
| 126 | 39 | |
| - | - | |
| 8.1 | 9.4 | |
| over 1 year ago | 13 days ago | |
| HTML | Julia | |
| MIT License | GNU General Public License v3.0 or later |
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fortran-lang.org
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Fortran, not as main language but I find it fascinating
A good starting point: https://fortran-lang.org/
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Are there any good FORTRAN IDEs on Linux?
Glad you're interested in Fortran. Not sure how old that book is, but take a look at https://fortran-lang.org/ for the latest news and best practices for modern Fortran (for example, there's now a standard library and package manager).
- Modern Fortran logo
- Fortran Newsletter: September 2021
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Old programming language is suddenly getting more popular again
As I understand it, the TIOBE index is calculated based on search engine rankings. What I believe helped Fortran's ranking was our hard work on its web presence [1] (started April 2020), modern tooling [2] (started December 2019), and community building [3] (started May 2020).
Maybe Intel making its Fortran compilers for Windows and Linux has helped. Fortran Discourse https://fortran-lang.discourse.group/ is a recent, active discussion site, and Fortran-lang https://fortran-lang.org/ is a recent information hub. On GitHub the Fortran Programming Language group https://github.com/fortran-lang is active, creating a Fortran standard library and package manager.
That said, although I'm a Fortran fan and programmer I doubt its relative popularity has truly jumped so much in 1 year.
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Resurrecting Fortran
Good catch! Thank you:
BoundaryValueDiffEq.jl
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Old programming language is suddenly getting more popular again
This isn't theoretical too, here's an actual user who opened an issue where their MWE was using quaternions:
https://github.com/SciML/BoundaryValueDiffEq.jl/issues/52
This is how I found out it worked in the differential equation solver: users were using it. The issue was unrelated (they didn't define enough boundary conditions), so it's quite cool that it was useful to someone. It turns out the quaternions have use cases in 3D rotations:
https://en.wikipedia.org/wiki/Gimbal_lock
which is where this all comes in. Anyways, it's always cool to learn from users what your own library supports! That's really a Julia treat.
What are some alternatives?
DiffEqOperators.jl - Linear operators for discretizations of differential equations and scientific machine learning (SciML)
stdlib - Fortran Standard Library
SciMLBenchmarks.jl - Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
DifferentialEquations.jl - Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
lapack - LAPACK development repository
benchmarks - Fortran benchmarks
FABS - Fortran + Apache + BSD + sqlite = Web framework