This release is a pre-release and may not be stable for production use.
Sleipnir
Sleipnir is a reverse mode autodiff library, interior-point method, and NLP solver DSL for C++23 and Python. The DSL automatically chooses the best solver based on the problem structure.
#include <print>
#include <sleipnir/optimization/problem.hpp>
int main() {
// Find the x, y pair with the largest product for which x + 3y = 36
slp::Problem<double> problem;
auto x = problem.decision_variable();
auto y = problem.decision_variable();
problem.maximize(x * y);
problem.subject_to(x + 3 * y == 36);
problem.solve();
// x = 18.0, y = 6.0
std::println("x = {}, y = {}", x.value(), y.value());
}
#!/usr/bin/env python
from sleipnir.optimization import Problem
def main():
# Find the x, y pair with the largest product for which x + 3y = 36
problem = Problem()
x, y = problem.decision_variable(2)
problem.maximize(x * y)
problem.subject_to(x + 3 * y == 36)
problem.solve()
# x = 18.0, y = 6.0
print(f"x = {x.value()}, y = {y.value()}")
if __name__ == "__main__":
main()
Sleipnir supports easy cross-compilation via CMake toolchain files, provides good performance by default, and contains clean reference implementations of various solvers with links to explanatory material.
The C++ API also supports arbitrary scalar types, so users can specify higher precision floating-point types at the cost of speed.
Install
The following platforms are supported:
- Windows
- OS: Windows 11
- Runtime: Microsoft Visual C++ 2022 redistributable from Visual Studio 2022 17.13
- Linux
- OS: Ubuntu 24.04
- Runtime: GCC 14 libstdc++ (run
sudo apt install g++-14)
- macOS
- OS: macOS 14.5
- Runtime: Apple Clang 16.0.0 libc++ from Xcode 16.2 (run
xcode-select --install)
To use Sleipnir within a CMake project, add the following to CMakeLists.txt:
include(FetchContent)
FetchContent_Declare(
Sleipnir
GIT_REPOSITORY https://github.com/SleipnirGroup/Sleipnir.git
GIT_TAG main
EXCLUDE_FROM_ALL
SYSTEM
)
FetchContent_MakeAvailable(Sleipnir)
target_link_libraries(MyApp PUBLIC Sleipnir::Sleipnir)
To use Sleipnir in Python, install sleipnirgroup-jormungandr from PyPI:
pip install sleipnirgroup-jormungandr
If necessary, follow these instructions to build from source.
Docs
See the C++ API docs, Python API docs, and usage docs.
Examples
See the examples folder, C++ optimization unit tests, and Python optimization unit tests.
Benchmarks
See the benchmarks folder.
Contributing
See the contributing docs.
1 maintainer
Metadata
1 maintainer
Release files for sleipnirgroup-jormungandr 0.6.7.dev86
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| sleipnirgroup_jormungandr-0.6.7.dev86.tar.gz | 147.8 kB | With provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| sleipnirgroup_jormungandr-0.6.7.dev86-cp312-abi3-win_arm64.whl | CPython 3.12 | abi3 | Windows ARM64 | Details |
| sleipnirgroup_jormungandr-0.6.7.dev86-cp312-abi3-win_amd64.whl | CPython 3.12 | abi3 | Windows x86-64 | Details |
| sleipnirgroup_jormungandr-0.6.7.dev86-cp312-abi3-manylinux_2_39_x86_64.whl | CPython 3.12 | abi3 | Linux glibc 2.39+ x86-64 | Details |
| sleipnirgroup_jormungandr-0.6.7.dev86-cp312-abi3-manylinux_2_39_aarch64.whl | CPython 3.12 | abi3 | Linux glibc 2.39+ ARM64 | Details |
| sleipnirgroup_jormungandr-0.6.7.dev86-cp312-abi3-macosx_14_0_universal2.whl | CPython 3.12 | abi3 | macOS 14.0+ universal2 (ARM64, x86-64) | Details |
Total release size: 4.3 MB
Release files / sleipnirgroup_jormungandr-0.6.7.dev86.tar.gz
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