heyoka
ode
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heyoka
- heyoka 0.15 [LLVM-based ODE integrator]
- heyoka: C++ library for ODE integration via Taylor's method and LLVM
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Solving Differential Equations with LLVM
Hello,
I have recently released version 0.3.0 of heyoka, a C++17 library for the numerical integration of ordinary differential equations (ODEs) using Taylor's method. The library uses automatic differentiation techniques and just-in-time compilation via LLVM to synthesize at runtime highly efficient and accurate numerical integrators.
Additional features include batch mode support to take full advantage of SIMD instructions in modern processors, and support for extended-precision computations using 80-bit and 128-bit floating-point types (if supported by the hardware/software platform).
The github page is here:
https://github.com/bluescarni/heyoka
The (WIP) documentation is available here:
https://bluescarni.github.io/heyoka/
Python bindings (via pybind11) are also available:
https://github.com/bluescarni/heyoka.py
ode
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I heard you guys like Lorenz attractors, this one is interactive!
Here's a short explanation on how the solver works and of course the code is on GitHub
What are some alternatives?
libcudacxx - [ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl
heyoka.py - Python library for ODE integration via Taylor's method and LLVM
cnl - A Compositional Numeric Library for C++
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